Triple
T18473522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higashi-Ueno Station |
E451364
|
entity |
| Predicate | servedArea |
P82
|
FINISHED |
| Object | Taitō Ward |
—
|
NE NERFINISHED |
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: [Higashi-Ueno Station, servedArea, Taitō Ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taitō Ward Context triple: [Higashi-Ueno Station, servedArea, Taitō Ward]
-
A.
Aoi Ward
Aoi Ward is a central administrative district of Shizuoka City in Japan, known for encompassing the city’s downtown and governmental areas.
-
B.
Koto Ward
Koto Ward is a special ward in eastern Tokyo, Japan, known for its waterfront areas, canals, and mix of residential, commercial, and industrial districts.
-
C.
Naka Ward
Naka Ward is a central administrative district in several Japanese cities, typically known for its historic sites, commercial areas, and cultural landmarks.
-
D.
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.
-
E.
Kaiapoi Ward
Kaiapoi Ward is an electoral subdivision within New Zealand’s Waimakariri District, centered on the town of Kaiapoi and its surrounding communities.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e530617e48819091240d4405e53aaa |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 11:34 a.m.