Triple
T30861368
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 高松シンボルタワー |
E786068
|
entity |
| Predicate | 地域の役割 |
P12921
|
FINISHED |
| Object | ビジネス拠点 |
—
|
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: ビジネス拠点 | Statement: [高松シンボルタワー, 地域の役割, ビジネス拠点]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 地域の役割 Context triple: [高松シンボルタワー, 地域の役割, ビジネス拠点]
-
A.
地域的役割
Indicates that something has a specific function, responsibility, or role within a particular region or locality.
-
B.
geographicRole
Indicates a relationship where one entity serves a specific geographic function, status, or role in relation to another location or area.
-
C.
ethnicRole
Indicates a role, function, or social position that is specifically associated with or defined by an entity’s ethnicity.
-
D.
hasRegionalRole
chosen
Indicates that an entity holds a specific role, function, or responsibility within a defined geographic region.
-
E.
roleInAdministrativeDivision
Indicates that an entity holds or fulfills a specific role, function, or position within a particular administrative division or jurisdiction.
- 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_69f224b91c14819084e764832fe67a57 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f691a92b6081909e009d05ee9023b2 |
completed | May 3, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69f68b7d2794819092fef8a63f4f3de8 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:47 p.m.