Triple
T13505149
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tepiman |
E320996
|
entity |
| Predicate | hasMemberLanguage |
P7390
|
FINISHED |
| Object | Opata |
E388869
|
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: Opata | Statement: [Tepiman, hasMemberLanguage, Opata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opata Context triple: [Tepiman, hasMemberLanguage, Opata]
-
A.
Opata
chosen
Opata refers to an Indigenous people and their now largely extinct Uto-Aztecan language historically spoken in northern Mexico, particularly in the present-day state of Sonora.
-
B.
Upata
Upata is a town in southeastern Venezuela known as an agricultural and commercial center within Bolívar State.
-
C.
Pangallo
Pangallo is an Italian-origin surname borne by individuals such as American politician Dominick Pangallo.
-
D.
Pakurumo
Pakurumo is a popular Afrobeat song by Nigerian artist Wizkid, known for its upbeat rhythm and dance-friendly vibe.
-
E.
Montoro
Montoro is a municipality in southern Italy’s Campania region, known for its agricultural traditions and location within the Province of Avellino.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf810e248190a060481004503f96 |
completed | April 12, 2026, 2:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76ba835f08190bdc21de864e0fcc8 |
completed | May 3, 2026, 3:37 p.m. |
Created at: April 9, 2026, 9:43 p.m.