Triple
T8717509
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | O-10 |
E206931
|
entity |
| Predicate | isAboveOfficerGrade |
P84087
|
FINISHED |
| Object | O-9 |
—
|
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: O-9 | Statement: [O-10, isAboveOfficerGrade, O-9]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAboveOfficerGrade Context triple: [O-10, isAboveOfficerGrade, O-9]
-
A.
isOfficerOf
Indicates that one entity holds an official position, role, or office within another entity (such as an organization, group, or institution).
-
B.
isFiveStarOfficerGrade
Indicates that an entity holds a military rank at the five-star officer grade level.
-
C.
isMilitaryOfficer
Indicates that the subject holds an official position as an officer within a military organization.
-
D.
isMilitaryOrderGrade
Indicates that one entity is classified as a specific grade or level within a military order or honor system in relation to another entity.
-
E.
usesFlagOfficerRanks
Indicates that an organization or force employs a rank structure that includes flag officer ranks (such as admirals or equivalent high-level officers).
- 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_69ca83572d4881909bef3be2b578d539 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5cdac6988190b9f9cc1f350aae53 |
completed | March 31, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69cc456e806c819087e7d66ee737f242 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc46c40c54819093d174a4203f9515 |
completed | March 31, 2026, 10:12 p.m. |
Created at: March 30, 2026, 6:36 p.m.