Triple
T5639983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 寺内正毅 |
E124241
|
entity |
| Predicate | 陸軍大臣在任期間 |
P17403
|
FINISHED |
| Object | 1902-06-02/1911-08-30 |
—
|
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: 1902-06-02/1911-08-30 | Statement: [寺内正毅, 陸軍大臣在任期間, 1902-06-02/1911-08-30]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 陸軍大臣在任期間 Context triple: [寺内正毅, 陸軍大臣在任期間, 1902-06-02/1911-08-30]
-
A.
在任期間_第2方面軍司令官
Indicates that an entity held the position of Commander of the 2nd Area Army during their term in office.
-
B.
陸軍大臣退任日
Indicates the date on which a person ceases to serve as Army Minister.
-
C.
termInOffice
chosen
Indicates the period during which an individual officially holds a particular office or position.
-
D.
presidentDuringDefenseSecretaryTenure
Indicates that the subject person was the president of a country during the time period in which the object person served as that country’s defense secretary.
-
E.
militaryServicePeriod
Indicates the span of time during which an entity serves or has served in a military capacity.
- 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.