Triple
T4002921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Quetzaltenango |
E89455
|
entity |
| Predicate | localLanguage |
P1252
|
FINISHED |
| Object | Qʼanjobʼal |
E153794
|
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: Qʼanjobʼal | Statement: [Quetzaltenango, localLanguage, Qʼanjobʼal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qʼanjobʼal Context triple: [Quetzaltenango, localLanguage, Qʼanjobʼal]
-
A.
Qʼanjobʼal
chosen
Qʼanjobʼal is an indigenous Mayan language spoken primarily by the Qʼanjobʼal people in the highlands of northwestern Guatemala.
-
B.
Kʼicheʼ
Kʼicheʼ is a major Mayan language spoken primarily by the Kʼicheʼ people of Guatemala, with a rich literary and cultural tradition.
-
C.
Choachí
Choachí is a mountainous municipality in the Cundinamarca Department of Colombia, known for its cool climate, natural landscapes, and proximity to Bogotá.
-
D.
Tafoya
Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
-
E.
Guamote
Guamote is a rural town and canton in Ecuador known for its indigenous Kichwa culture, traditional markets, and highland Andean landscapes.
- 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_69aed9585e788190bec2d39deba3750f |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa44125881909f45ecd0a986c581 |
completed | March 9, 2026, 4:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54c61bad48190a5115dbd4a3457d6 |
completed | March 14, 2026, 11:54 a.m. |
Created at: March 9, 2026, 3:34 p.m.