Triple
T12272467
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uromi |
E292503
|
entity |
| Predicate | languageSpoken |
P151
|
FINISHED |
| Object | Esan language |
E934607
|
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: Esan language | Statement: [Uromi, languageSpoken, Esan language]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Esan language Context triple: [Uromi, languageSpoken, Esan language]
-
A.
Esan language
chosen
The Esan language is a Niger-Congo language spoken primarily by the Esan people of Edo State in southern Nigeria.
-
B.
Achomi language
Achomi language is a Southwestern Iranian language spoken primarily by the Achomi people in southern Iran and parts of the Persian Gulf region.
-
C.
Khwarshi language
The Khwarshi language is a Northeast Caucasian (Nakh-Daghestanian) language spoken by a small ethnic group in Dagestan, Russia, known for its complex phonology and rich case system.
-
D.
Lundayeh language
The Lundayeh language is an Austronesian language spoken by the Lundayeh (Lun Bawang) people of northern Borneo, primarily in parts of Malaysia and Indonesia.
-
E.
Agutaynen language
Agutaynen is an Austronesian language spoken by the Agutaynen people of Palawan in the Philippines.
- 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_69f63461cacc81909958fbd745e5d065 |
completed | May 2, 2026, 5:29 p.m. |
Created at: April 8, 2026, 9:52 p.m.