Triple
T16170885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Banryū |
E392430
|
entity |
| Predicate | locationOfOperations |
P6665
|
FINISHED |
| Object | Ezo |
E1197044
|
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: Ezo | Statement: [Banryū, locationOfOperations, Ezo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ezo Context triple: [Banryū, locationOfOperations, Ezo]
-
A.
Ezo
chosen
Ezo was a short-lived 19th-century breakaway state in northern Japan, centered on Hokkaido and established by former Tokugawa loyalists after the Boshin War.
-
B.
Eza’r
Eza’r is the endonym used by the Chichimeca Jonaz people for their own indigenous community and language in Mexico.
-
C.
Ezha
Ezha is a Gurage language variety spoken in Ethiopia, recognized as one of the distinct dialects within the broader Gurage linguistic group.
-
D.
Eke
Eke is a town in the Okpokwu Local Government Area of Benue State, Nigeria.
-
E.
Ewohimi
Ewohimi is a historic Esan town in Edo State, Nigeria, known for its rich cultural heritage and traditional institutions.
- 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb6de30819083af54b50ae5ae51 |
completed | April 17, 2026, 11:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fffefc3e088190975ecbdaeba7ee84 |
completed | May 10, 2026, 3:43 a.m. |
Created at: April 10, 2026, 5:02 a.m.