Triple
T33371972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 第1次安倍内閣 |
E854515
|
entity |
| Predicate | 後内閣 |
P145449
|
FINISHED |
| Object |
福田康夫内閣
福田康夫内閣は、福田康夫を内閣総理大臣として2007年から2008年にかけて日本を統治した自由民主党中心の政権である。
|
E2046987
|
NE FINISHED |
How this triple was built (3 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: 福田康夫内閣 | Statement: [第1次安倍内閣, 後内閣, 福田康夫内閣]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: 福田康夫内閣 Triple: [第1次安倍内閣, 後内閣, 福田康夫内閣]
Generated description
福田康夫内閣は、福田康夫を内閣総理大臣として2007年から2008年にかけて日本を統治した自由民主党中心の政権である。
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 後内閣 Context triple: [第1次安倍内閣, 後内閣, 福田康夫内閣]
-
A.
前任内閣
chosen
Indicates that one cabinet is the predecessor of another, having held governmental office before the current or referenced cabinet.
-
B.
第何代内閣
Indicates the ordinal number of a particular cabinet within a sequence of successive cabinets.
-
C.
第何代内閣総理大臣
Indicates the ordinal position of a person in the sequence of individuals who have served as Prime Minister (e.g., "the Nth Prime Minister").
-
D.
finalCoalitionMinistryBefore
Indicates that one government ministry is the last coalition ministry to hold office immediately before another specified ministry.
-
E.
lastChancellor
Indicates that one entity served as the most recent chancellor of another entity (such as a country, institution, or organization).
- F. None of above.
Provenance (6 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_69f3496ca10c8190908640d18fa00832 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e3156ea48190b604e414665ef351 |
completed | May 3, 2026, 5:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a35521d10fc8190bc7a6f5801a3c7d6 |
completed | June 19, 2026, 2:28 p.m. |
| NEDg | Description generation | batch_6a3553e4829c8190bbb62bb63b8d488f |
completed | June 19, 2026, 2:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a3554a6e0ec819099dac83f8f062643 |
completed | June 19, 2026, 2:39 p.m. |
| PD | Predicate disambiguation | batch_69f6de0b9ba48190887c9eb5d06a2e94 |
completed | May 3, 2026, 5:32 a.m. |
Created at: May 1, 2026, 1:35 a.m.