Triple
T18306265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nakahara-ku |
E438491
|
entity |
| Predicate | hasNeighbouringAdministrativeUnit |
P68114
|
FINISHED |
| Object | Ota-ku |
—
|
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: Ota-ku | Statement: [Nakahara-ku, hasNeighbouringAdministrativeUnit, Ota-ku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ota-ku Context triple: [Nakahara-ku, hasNeighbouringAdministrativeUnit, Ota-ku]
-
A.
Ōta-ku
chosen
Ōta-ku is a special ward in southern Tokyo, Japan, known for housing Haneda Airport and a mix of residential, industrial, and waterfront areas.
-
B.
Naniwa-ku
Naniwa-ku is a central ward of Osaka, Japan, known for its bustling entertainment districts, shopping streets, and iconic landmarks such as Tsutenkaku Tower.
-
C.
Taihaku-ku
Taihaku-ku is a ward in the city of Sendai, Japan, known for its mix of residential areas, natural scenery, and hot spring resorts.
-
D.
Tama-ku
Tama-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known for its residential areas and proximity to Tokyo.
-
E.
Takehara-shi
Takehara-shi is a coastal city in Hiroshima Prefecture, Japan, known for its well-preserved historic townscape and traditional salt-making heritage.
- 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_69d8b915e3e881909125d760c15d0c29 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50183394081909b86cefaaa0a3aa8 |
completed | April 19, 2026, 4:23 p.m. |
Created at: April 10, 2026, 10:35 a.m.