Triple
T2881711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | General of the Army |
E59410
|
entity |
| Predicate | isTypicallyConferredDuring |
P16810
|
FINISHED |
| Object | major wars |
—
|
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: major wars | Statement: [General of the Army, isTypicallyConferredDuring, major wars]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isTypicallyConferredDuring Context triple: [General of the Army, isTypicallyConferredDuring, major wars]
-
A.
conferredIn
chosen
Indicates that something (such as a degree, title, or honor) was formally granted or awarded within a particular context, event, or institution.
-
B.
conferredOn
Indicates that something (such as an honor, title, degree, or benefit) has been formally granted or bestowed upon a particular entity.
-
C.
grantsDegreesFrom
Indicates that an institution has the authority to confer academic degrees originating from a specified source or program.
-
D.
degreeGrantingStatus
Indicates whether an institution or program has the authority to confer formal academic degrees.
-
E.
typicalAgeAtCompletion
Indicates the age at which an entity (such as a program, activity, or process) is typically completed.
- F. None of above.
Provenance (3 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_69ab4ac739188190a112f42a5a69c951 |
completed | March 6, 2026, 9:44 p.m. |
| NER | Named-entity recognition | batch_69abe02aa5948190a2e0bd9168232bd5 |
completed | March 7, 2026, 8:22 a.m. |
| PD | Predicate disambiguation | batch_69abdd15cbf08190bf7fea5ea516848a |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:03 p.m.