Triple
T631345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Veracruz |
E15932
|
entity |
| Predicate | hasRegion |
P285
|
FINISHED |
| Object | Huasteca Veracruzana |
E79459
|
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: Huasteca Veracruzana | Statement: [Veracruz, hasRegion, Huasteca Veracruzana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huasteca Veracruzana Context triple: [Veracruz, hasRegion, Huasteca Veracruzana]
-
A.
Cobá
Cobá is an ancient Maya city in Mexico’s Yucatán Peninsula, known for its extensive network of sacbeob (raised stone roads) and towering pyramid structures amid dense jungle.
-
B.
Huastec
chosen
Huastec is a Mayan language spoken by the Huastec people primarily in northeastern Mexico, especially in parts of Veracruz and neighboring states.
-
C.
Tenayuca
Tenayuca is a station and northern terminus of Mexico City’s Metrobús Line 3, serving as a key public transit hub in the area.
-
D.
Sierra Madre de Oaxaca region
The Sierra Madre de Oaxaca region is a mountainous area in southern Mexico known for its rugged terrain, rich biodiversity, and numerous indigenous communities.
-
E.
Tlalpan
Tlalpan is one of the largest and southernmost boroughs of Mexico City, known for its extensive green areas, historic center, and mix of urban and rural zones.
- 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_69a4935c131c8190a5378c6bf101e8cc |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49ec171008190ab91dee86e9279af |
completed | March 1, 2026, 8:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a64a4ba2d88190969e7c777a1bbfd7 |
completed | March 3, 2026, 2:41 a.m. |
Created at: March 1, 2026, 7:35 p.m.