Triple
T10239081
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 菅 義偉 |
E243540
|
entity |
| Predicate | 横浜市会議員当選年 |
P78375
|
FINISHED |
| Object | 1987年 |
—
|
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: 1987年 | Statement: [菅 義偉, 横浜市会議員当選年, 1987年]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 横浜市会議員当選年 Context triple: [菅 義偉, 横浜市会議員当選年, 1987年]
-
A.
hasBoroughPresident
Indicates that a borough is associated with a specific individual who serves as its president or chief elected official.
-
B.
targetedOfficeElectionYear
Indicates the year in which the election is held for the office that is the target of the relationship.
-
C.
isUsuallyElectedFor
Indicates that an entity typically attains a position, role, or office through an election process.
-
D.
candidacyYear
chosen
Indicates the specific year in which an entity is a candidate for a position, office, award, or similar selection process.
-
E.
currentIncumbentStartYear
Indicates the year in which the entity’s current incumbent began their tenure or term in that role.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d23b620c8190b8a72d0eb0d16b93 |
completed | April 7, 2026, 9:45 a.m. |
| PD | Predicate disambiguation | batch_69d4d1e9798c8190b437d53d48554ba1 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:23 a.m.