Triple
T2909811
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | United States Navy ranks |
E63653
|
entity |
| Predicate | highestWarrantOfficerPaygrade |
P42856
|
FINISHED |
| Object | W-5 |
—
|
LITERAL FINISHED |
How this triple was built (2 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: W-5 | Statement: [United States Navy ranks, highestWarrantOfficerPaygrade, W-5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: highestWarrantOfficerPaygrade Context triple: [United States Navy ranks, highestWarrantOfficerPaygrade, W-5]
-
A.
highestNonCommissionedRank
Indicates that the subject holds the top position among all non-commissioned ranks within a given hierarchy or organization.
-
B.
hasSeniorNCO
Indicates that an entity has, is assigned, or is associated with a senior non-commissioned officer in a supervisory or leadership capacity.
-
C.
isFlagOfficerPosition
Indicates that a position is designated for or held by a flag officer within a military hierarchy.
-
D.
usesFlagOfficerRanks
Indicates that an organization or force employs a rank structure that includes flag officer ranks (such as admirals or equivalent high-level officers).
-
E.
hasCommanderRank
Indicates that an entity holds the military or organizational rank of commander within a specified hierarchy or context.
- F. None of above. chosen
Provenance (4 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. |
| PD | Predicate disambiguation | batch_69abdd1b77608190b20fc078fdb85e64 |
completed | March 7, 2026, 8:08 a.m. |
| PDg | Predicate description generation | batch_69abddedd72c819094a9c4161af07780 |
completed | March 7, 2026, 8:12 a.m. |
Created at: March 6, 2026, 10:11 p.m.