Triple
T10057045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taitō City Office |
E208888
|
entity |
| Predicate | jurisdiction |
P82
|
FINISHED |
| Object | Taitō ward |
E358002
|
NE 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: Taitō ward | Statement: [Taitō City Office, jurisdiction, Taitō ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taitō ward Context triple: [Taitō City Office, jurisdiction, Taitō ward]
-
A.
Taitō ward
chosen
Taitō ward is a central Tokyo district known for its historic neighborhoods, traditional temples, and popular tourist areas such as Asakusa and Ueno.
-
B.
Kaiapoi Ward
Kaiapoi Ward is an electoral subdivision within New Zealand’s Waimakariri District, centered on the town of Kaiapoi and its surrounding communities.
-
C.
Aoi Ward
Aoi Ward is a central administrative district of Shizuoka City in Japan, known for encompassing the city’s downtown and governmental areas.
-
D.
Naniwa Ward
Naniwa Ward is a central district of Osaka, Japan, known for its bustling commercial areas, entertainment districts, and historical sites.
-
E.
Toyohira Ward
Toyohira Ward is one of the ten administrative wards of Sapporo, Japan, known for its residential neighborhoods, universities, and parks along the Toyohira River.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69ca836094408190a36a1ea7e9a86fcd |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cdcfae503881909b9f016da4e2207d |
completed | April 2, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d29a5258788190a4ecdefa5b520609 |
completed | April 5, 2026, 5:22 p.m. |
Created at: March 30, 2026, 8:57 p.m.