Triple
T12272238
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Esan |
E292498
|
entity |
| Predicate | traditionalState |
P18799
|
FINISHED |
| Object | Ewatto |
E975835
|
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: Ewatto | Statement: [Esan, traditionalState, Ewatto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ewatto Context triple: [Esan, traditionalState, Ewatto]
-
A.
Ewohimi
chosen
Ewohimi is a historic Esan town in Edo State, Nigeria, known for its rich cultural heritage and traditional institutions.
-
B.
Enwan
Enwan is a town located in the Akoko-Edo area of Edo State in southern Nigeria.
-
C.
Yotowawa
Yotowawa is an alternative name for the Kisar language, an Austronesian language spoken on Kisar Island in Indonesia.
-
D.
Wattala
Wattala is a densely populated suburban town in Sri Lanka’s Western Province, located just north of Colombo and known as a residential and commercial hub along the main road to Negombo.
-
E.
Eketāhuna
Eketāhuna is a small rural town in New Zealand’s North Island, known for its farming community and location in the Tararua District.
- 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_69d6ab6856488190b5d31178d5015f8e |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d91cee7158819093fff74db6867896 |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62a959e7c8190a005f20728cb71e0 |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:52 p.m.