Triple
T3266167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiapas |
E68532
|
entity |
| Predicate | containsIndigenousLanguage |
P27399
|
FINISHED |
| Object | Chol |
E155114
|
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: Chol | Statement: [Chiapas, containsIndigenousLanguage, Chol]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chol Context triple: [Chiapas, containsIndigenousLanguage, Chol]
-
A.
Chʼol
chosen
Chʼol is a Mayan language spoken primarily in the Mexican states of Chiapas and Tabasco by the Chʼol people, known for its rich verbal morphology and importance to contemporary Maya culture.
-
B.
Cholchol
Cholchol is a small rural municipality and town in southern Chile’s Araucanía Region, known for its Mapuche heritage and agricultural surroundings.
-
C.
Chale
Chale is a small coastal village on the southern side of the Isle of Wight in England, known for its rural character and proximity to dramatic sea cliffs.
-
D.
Chorin
Chorin is a small village in northeastern Germany known for its medieval Cistercian monastery and scenic natural surroundings.
-
E.
Cholon
Cholon was historically Saigon’s bustling Chinese-influenced district and commercial hub, known for its dense markets, temples, and vibrant trading community.
- 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_69ad8590444081909e8107a8aeef3a23 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adafcc99908190897230b4b71e2ea8 |
completed | March 8, 2026, 5:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b28eed68c08190994376bfbfeae949 |
completed | March 12, 2026, 10:01 a.m. |
Created at: March 8, 2026, 3:09 p.m.