Triple
T7132279
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Akatek |
E166217
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Acateco |
E166217
|
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: Acateco | Statement: [Akatek, hasAlternativeName, Acateco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Acateco Context triple: [Akatek, hasAlternativeName, Acateco]
-
A.
Uspantán
Uspantán is a municipality in Guatemala known for its indigenous Uspantek Maya population, rich highland culture, and agricultural economy.
-
B.
Catemaco
Catemaco is a lakeside town in Veracruz, Mexico, famed for its lush rainforest setting, ecotourism, and long-standing reputation as a center of witchcraft and spiritual rituals.
-
C.
Akatek
chosen
Akatek is a Mayan language spoken primarily by indigenous communities in the highlands of Guatemala.
-
D.
Ixcatec
Ixcatec is an indigenous Oto-Manguean language of Mexico spoken by a very small and endangered community in Oaxaca.
-
E.
Cachantun
Cachantun is a Chilean bottled mineral water brand known for its natural spring sources and is part of Nestlé Waters’ beverage portfolio.
- 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_69c68884a9388190af42f90d1c1a7151 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e66f15b88190bc1fb0f0a8af16a6 |
completed | March 27, 2026, 8:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7a341ede88190b43f26f1dad7bf70 |
completed | March 28, 2026, 9:45 a.m. |
Created at: March 27, 2026, 2:45 p.m.