Triple
T8598050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pachuca metropolitan area |
E203599
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Epazoyucan |
E647979
|
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: Epazoyucan | Statement: [Pachuca metropolitan area, hasMunicipality, Epazoyucan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Epazoyucan Context triple: [Pachuca metropolitan area, hasMunicipality, Epazoyucan]
-
A.
Epazoyucan
chosen
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.
-
B.
Huichapan
Huichapan is a historic town and municipality in central Mexico known for its colonial architecture and role in the country’s independence movement.
-
C.
Mexticacán
Mexticacán is a small municipality and town in the Los Altos region of the state of Jalisco, Mexico, known for its rural character and traditional Mexican culture.
-
D.
Coatlan
Coatlan was a Mesoamerican city-state that took part in the Tepanec War during the rise of the Aztec Triple Alliance.
-
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_69ca832b56948190ba751cec255308f1 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc46cacbe88190b95beeedc9f480b0 |
completed | March 31, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebba872b8819098ba7525944bcce1 |
completed | April 2, 2026, 6:55 p.m. |
Created at: March 30, 2026, 6:24 p.m.