Triple
T17901112
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nishinari-ku |
E447579
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Abeno-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: Abeno-ku | Statement: [Nishinari-ku, borderedBy, Abeno-ku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abeno-ku Context triple: [Nishinari-ku, borderedBy, Abeno-ku]
-
A.
Abeno district
chosen
Abeno district is a major commercial and residential area in Osaka, Japan, known for its large shopping complexes and the landmark Abeno Harukas skyscraper.
-
B.
Yodogawa-ku
Yodogawa-ku is one of the 24 wards of Osaka, Japan, known as a major residential and commercial area and a key transportation hub centered around Shin-Osaka Station.
-
C.
Sumiyoshi-ku
Sumiyoshi-ku is one of the 24 wards of Osaka, Japan, known as a primarily residential area with a mix of traditional neighborhoods and urban amenities.
-
D.
Nishi-ku
Nishi-ku is a central ward of Yokohama, Japan, known as a major commercial and business district that includes the Minato Mirai 21 waterfront area.
-
E.
Nishi-ku
Nishi-ku is a ward in Fukuoka, Japan, known for its coastal areas, residential neighborhoods, and access to both urban amenities and natural scenery.
- 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_69d8b9f59bd48190a6fc925a855b8bac |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49e98fb688190815ac308e5ed7fde |
completed | April 19, 2026, 9:21 a.m. |
Created at: April 10, 2026, 10:19 a.m.