Triple
T11934251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 文京区 |
E283998
|
entity |
| Predicate | wardNumber |
P102239
|
FINISHED |
| Object | 13区（旧制番号） |
—
|
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: 13区（旧制番号） | Statement: [文京区, wardNumber, 13区（旧制番号）]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: wardNumber Context triple: [文京区, wardNumber, 13区（旧制番号）]
-
A.
ward
Indicates that one entity is under the protection, guardianship, or custodial responsibility of another entity.
-
B.
laterNumber
Indicates that one number occurs or is positioned later than another in a specified ordering or sequence.
-
C.
imoNumber
Indicates that an entity is associated with a specific International Maritime Organization (IMO) identification number used to uniquely identify ships and certain maritime structures.
-
D.
positionNumber
Indicates the specific ordinal or identifying number assigned to a position within an ordered set or organizational structure.
-
E.
frontNumbering
Indicates that an entity is assigned a numbering or label that appears at the front or beginning of something (e.g., a sequence, document, or list).
- F. None of above. chosen
Provenance (4 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_69d6ab2ce9c48190b5d39511b524f666 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d90306fcf48190a963d2d1932288d1 |
completed | April 10, 2026, 2:02 p.m. |
| PD | Predicate disambiguation | batch_69d8bb3af0188190bfb22be5c97b3349 |
completed | April 10, 2026, 8:56 a.m. |
| PDg | Predicate description generation | batch_69d8d399d58c81908dab572aa82426d7 |
completed | April 10, 2026, 10:40 a.m. |
Created at: April 8, 2026, 9:45 p.m.