Triple
T12266867
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tewa |
E292367
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Tiwa |
E290819
|
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: Tiwa | Statement: [Tewa, closelyRelatedTo, Tiwa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiwa Context triple: [Tewa, closelyRelatedTo, Tiwa]
-
A.
Tiwa
chosen
Tiwa is a Tanoan language spoken by several Pueblo communities in northern New Mexico and southern Colorado, central to their cultural and ceremonial life.
-
B.
Tiwa
The Tiwa are an indigenous ethnic community of Northeast India known for their distinct language, vibrant festivals, and traditional agrarian lifestyle.
-
C.
Wiwa
The Wiwa are an Indigenous people of the Sierra Nevada de Santa Marta region in northern Colombia, known for their traditional spiritual practices and close relationship with sacred sites such as Ciudad Perdida.
-
D.
Siwi
Siwi is a Berber language spoken primarily in Egypt’s Siwa Oasis, known for its unique features and relative isolation from other Berber varieties.
-
E.
Tianeti
Tianeti is a small town and administrative center in eastern Georgia, situated in the mountainous Mtskheta-Mtianeti region.
- 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_69d91cdd7b3c8190afd237cd9b633d4d |
completed | April 10, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f61e6799088190a5644267733ca2e5 |
completed | May 2, 2026, 3:55 p.m. |
Created at: April 8, 2026, 9:52 p.m.