Triple
T34184596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Zihuatanejo de Azueta |
E876921
|
entity |
| Predicate | isPartOfTouristCorridor |
P32586
|
FINISHED |
| Object | Mexican Pacific coast |
—
|
LITERAL 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: Mexican Pacific coast | Statement: [Municipality of Zihuatanejo de Azueta, isPartOfTouristCorridor, Mexican Pacific coast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPartOfTouristCorridor Context triple: [Municipality of Zihuatanejo de Azueta, isPartOfTouristCorridor, Mexican Pacific coast]
-
A.
tourismCorridor
Indicates a designated route or area that links multiple destinations to facilitate and promote tourism-related movement and activities between them.
-
B.
isMajorTourismRoute
Indicates that a route serves as a primary corridor for significant tourism-related travel and activities.
-
C.
isPartOfTouristArea
chosen
Indicates that one entity is located within or belongs to a designated tourist area or tourist-focused region.
-
D.
touristCorridorLength
Indicates the measured length or extent of a designated tourist corridor or route.
-
E.
containsTouristArea
Indicates that a place or region includes within its boundaries an area primarily designated or recognized for tourism activities.
- F. None of above.
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_69f349ae640c8190b9cd220b5368d8b6 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69ff45793d5c81909dc503ad1f714ee2 |
completed | May 9, 2026, 2:32 p.m. |
| PD | Predicate disambiguation | batch_69ff41cb0e088190a6e9b03cb20e5fad |
completed | May 9, 2026, 2:16 p.m. |
Created at: May 1, 2026, 1:55 a.m.