Triple
T7480591
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kashiba |
E176745
|
entity |
| Predicate | neighboringMunicipality |
P17964
|
FINISHED |
| Object | Habikino |
E73678
|
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: Habikino | Statement: [Kashiba, neighboringMunicipality, Habikino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Habikino Context triple: [Kashiba, neighboringMunicipality, Habikino]
-
A.
Habikino
chosen
Habikino is a city in Osaka Prefecture, Japan, known for its historic kofun burial mounds and role within the Osaka metropolitan area.
-
B.
Hobokan
Hobokan is an alternative name or spelling for the place or entity known as Hobuck.
-
C.
Nakawa
Nakawa is one of the energetic human hosts in Disney’s “Festival of the Lion King” stage show at Disney’s Animal Kingdom.
-
D.
Kujūkuri
Kujūkuri is a long, sandy coastal town and beach area on the eastern shore of Chiba Prefecture, Japan, known for its surfing spots and scenic Pacific shoreline.
-
E.
Onikan
Onikan is a historic neighborhood on Lagos Island in Lagos, Nigeria, known for its cultural landmarks, sports and event venues, and proximity to the city’s central business and administrative districts.
- 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_69c69f236ce08190a04d7679f03b29b2 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f532f4488190b6edaa96099c3b8f |
completed | March 27, 2026, 9:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8682f438c8190bca55f7773fe6838 |
completed | March 28, 2026, 11:45 p.m. |
Created at: March 27, 2026, 3:42 p.m.