Triple
T6839341
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ixil |
E157529
|
entity |
| Predicate | closelyRelatedTo |
P37
|
FINISHED |
| Object | Awakatek |
E602962
|
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: Awakatek | Statement: [Ixil, closelyRelatedTo, Awakatek]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Awakatek Context triple: [Ixil, closelyRelatedTo, Awakatek]
-
A.
Awakatek
chosen
Awakatek is a Mayan language spoken by the Awakatek people of Guatemala, closely related to Tektitek and part of the broader Mayan language family.
-
B.
Awajún
Awajún are an Indigenous people of the Peruvian Amazon known for their distinct language, rich oral traditions, and long history of resistance to outside domination.
-
C.
Kaska
Kaska is an Athabaskan Indigenous language traditionally spoken by the Kaska Dena people of northern Canada, primarily in the Yukon and northern British Columbia.
-
D.
Otomi
Otomi is an indigenous Oto-Manguean language spoken by the Otomi people across several states in central Mexico.
-
E.
Okitipupa
Okitipupa is a prominent town in southwestern Nigeria known as a commercial and administrative center within Ondo State.
- 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_69c6882c53608190b99aebef079b23bd |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d6b2ee248190991c3e827be75bb7 |
completed | March 27, 2026, 7:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c724047c048190b1cf6901f1577e01 |
completed | March 28, 2026, 12:42 a.m. |
Created at: March 27, 2026, 2:19 p.m.