Triple
T9048387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kawanishi, Hyōgo Prefecture |
E216816
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Takarazuka, Hyōgo |
E136682
|
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: Takarazuka, Hyōgo | Statement: [Kawanishi, Hyōgo Prefecture, locatedNear, Takarazuka, Hyōgo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Takarazuka, Hyōgo Context triple: [Kawanishi, Hyōgo Prefecture, locatedNear, Takarazuka, Hyōgo]
-
A.
Takarazuka
chosen
Takarazuka is a Japanese city in Hyōgo Prefecture best known for the all-female Takarazuka Revue theater troupe and its popular hot spring resorts.
-
B.
Habikino, Osaka
Habikino is a city in Osaka Prefecture, Japan, historically notable for its large kofun burial mounds and ancient imperial tombs.
-
C.
Kaizuka
Kaizuka is a coastal city in Osaka Prefecture, Japan, known for its historical temples, traditional festivals, and proximity to Osaka Bay.
-
D.
Kumatori, Osaka
Kumatori, Osaka is a suburban town in Osaka Prefecture, Japan, known for its educational institutions and relatively quiet residential character.
-
E.
Sakai, Osaka
Sakai, Osaka is a historic port city in Japan’s Osaka Prefecture, known for its ancient burial mounds, traditional craftsmanship, and role as a major commercial center.
- 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_69ca83d362e88190ae44b4e4dc194209 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc6b51aa708190a37feecfd8deed2f |
completed | April 1, 2026, 12:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0177fb9108190846fe872bb003b08 |
completed | April 3, 2026, 7:39 p.m. |
Created at: March 30, 2026, 7:09 p.m.