Triple
T5639979
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 寺内正毅 |
E124241
|
entity |
| Predicate | 在任役職 |
P37119
|
FINISHED |
| Object | 第18代内閣総理大臣 |
—
|
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: 第18代内閣総理大臣 | Statement: [寺内正毅, 在任役職, 第18代内閣総理大臣]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 在任役職 Context triple: [寺内正毅, 在任役職, 第18代内閣総理大臣]
-
A.
militaryRole
Indicates the specific function, position, or duty an entity holds within a military organization or context.
-
B.
servedInRole
chosen
Indicates that one entity performed duties or held a position within a specified role or office in relation to another entity.
-
C.
militaryStatus
Indicates the relationship between an entity and a military organization in terms of service condition, such as active duty, reserve, veteran, or non-military status.
-
D.
enlistedIn
Indicates that an individual has formally joined and is serving in a particular military or service organization.
-
E.
hadMilitaryObligationsTo
Indicates that one party was bound by duty or law to provide military service, support, or protection to another party.
- 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_69c00824643c81909ffdb888a2d35189 |
completed | March 22, 2026, 3:17 p.m. |
| NER | Named-entity recognition | batch_69c022850bf08190953cd5394f821801 |
completed | March 22, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69c01b2168508190b64b355cf50034ad |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:41 p.m.