Triple
T2909808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Navy ranks |
E63653
|
entity |
| Predicate | lowestOfficerPaygrade |
P12750
|
FINISHED |
| Object |
O-1
O-1 is the entry-level commissioned officer pay grade in the United States Navy, typically held by ensigns beginning their naval officer careers.
|
E309216
|
NE FINISHED |
How this triple was built (5 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: O-1 | Statement: [United States Navy ranks, lowestOfficerPaygrade, O-1]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: O-1 Context triple: [United States Navy ranks, lowestOfficerPaygrade, O-1]
-
A.
O-10
O-10 is the highest pay grade for four-star flag and general officers in the U.S. Armed Forces, including admirals and full generals.
-
B.
OAS
The OAS (Organization of American States) is a regional intergovernmental organization that promotes democracy, human rights, security, and development among countries in the Americas.
-
C.
OCA
OCA is a research institution known for its scientific collaboration on projects such as the MICROSCOPE space mission.
-
D.
OCA
OCA is the commonly used abbreviation for the Orthodox Church in America, an autocephalous Eastern Orthodox Christian church based in North America.
-
E.
F-1
F-1 is the half-ton light-duty pickup model in Ford’s first postwar “Bonus-Built” truck line, produced from 1948 to 1952.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: O-1 Triple: [United States Navy ranks, lowestOfficerPaygrade, O-1]
Generated description
O-1 is the entry-level commissioned officer pay grade in the United States Navy, typically held by ensigns beginning their naval officer careers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: O-1 Target entity description: O-1 is the entry-level commissioned officer pay grade in the United States Navy, typically held by ensigns beginning their naval officer careers.
-
A.
O-10
O-10 is the highest pay grade for four-star flag and general officers in the U.S. Armed Forces, including admirals and full generals.
-
B.
OAS
The OAS (Organization of American States) is a regional intergovernmental organization that promotes democracy, human rights, security, and development among countries in the Americas.
-
C.
OCA
OCA is a research institution known for its scientific collaboration on projects such as the MICROSCOPE space mission.
-
D.
OCA
OCA is the commonly used abbreviation for the Orthodox Church in America, an autocephalous Eastern Orthodox Christian church based in North America.
-
E.
F-1
F-1 is the half-ton light-duty pickup model in Ford’s first postwar “Bonus-Built” truck line, produced from 1948 to 1952.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lowestOfficerPaygrade Context triple: [United States Navy ranks, lowestOfficerPaygrade, O-1]
-
A.
lowestRank
Indicates that the subject has the least or worst rank in an ordered set compared to all other related entities.
-
B.
highestNonCommissionedRank
Indicates that the subject holds the top position among all non-commissioned ranks within a given hierarchy or organization.
-
C.
lowestGrade
chosen
Indicates that one entity has the smallest or worst grade value compared to all other relevant entities in a given context.
-
D.
lowerRank
Indicates that one entity holds an inferior or subordinate rank, status, or position relative to another entity.
-
E.
payGrade
Indicates the level or category of compensation assigned to an entity, typically reflecting its rank, role, or seniority in a pay structure.
- F. None of above.
Provenance (6 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ab4c44ab448190b9411324e8a1fc1d |
completed | March 6, 2026, 9:51 p.m. |
| NER | Named-entity recognition | batch_69abe0e899808190a348e1e71116d0a5 |
completed | March 7, 2026, 8:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b0561b8e6c8190be69fd39bdd19cca |
completed | March 10, 2026, 5:34 p.m. |
| NEDg | Description generation | batch_69b060ac7c58819081f0882170869a8e |
completed | March 10, 2026, 6:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b0619540cc8190971cd1a4c5c4b309 |
completed | March 10, 2026, 6:23 p.m. |
| PD | Predicate disambiguation | batch_69abdd1b77608190b20fc078fdb85e64 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:11 p.m.