Triple
T7738708
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mixteca Alta |
E175447
|
entity |
| Predicate | neighboringRegion |
P17964
|
FINISHED |
| Object | Mixteca Baja |
E177364
|
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: Mixteca Baja | Statement: [Mixteca Alta, neighboringRegion, Mixteca Baja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mixteca Baja Context triple: [Mixteca Alta, neighboringRegion, Mixteca Baja]
-
A.
Mixteca Baja
chosen
Mixteca Baja is a region in southern Mexico that formed a core area of the pre-Columbian Mixtec civilization.
-
B.
Mixteca Alta
Mixteca Alta is a mountainous region in present-day Oaxaca, Mexico, that served as the core cultural and political area of the pre-Columbian Mixtec people.
-
C.
Mixteca de la Costa
Mixteca de la Costa is a coastal region of Oaxaca, Mexico, historically inhabited by the Mixtec people and known for its rich indigenous culture and archaeological heritage.
-
D.
Epazoyucan
Epazoyucan is a municipality in the state of Hidalgo, Mexico, known for its rural landscapes and proximity to the mining and cultural region of the Comarca Minera.
-
E.
Soconusco
Soconusco is a historically significant coastal region in southern Mexico known for its fertile land and major production of coffee, cacao, and tropical fruits.
- 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_69c6995f9c60819092e386192bd63c6f |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c7035bcd94819080d5553e602e6c61 |
completed | March 27, 2026, 10:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8e581d4e881908c88d55364a5e014 |
completed | March 29, 2026, 8:40 a.m. |
Created at: March 27, 2026, 4:07 p.m.