Triple
T34184576
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Municipality of Zihuatanejo de Azueta |
E876921
|
entity |
| Predicate | encompassesResortArea |
P25904
|
FINISHED |
| Object | Ixtapa-Zihuatanejo |
—
|
NE NERFINISHED |
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: Ixtapa-Zihuatanejo | Statement: [Municipality of Zihuatanejo de Azueta, encompassesResortArea, Ixtapa-Zihuatanejo]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: encompassesResortArea Context triple: [Municipality of Zihuatanejo de Azueta, encompassesResortArea, Ixtapa-Zihuatanejo]
-
A.
containsResortArea
chosen
Indicates that one location or region includes within its boundaries a designated resort area.
-
B.
servesResortArea
Indicates that one entity provides services or operational support to a resort area.
-
C.
partOfResortCategory
Indicates that something belongs to, or is classified within, a specific resort category.
-
D.
partOfResortComplexWith
Indicates that one entity is a component or facility within the same resort complex as the other entity, forming part of a shared resort property.
-
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_69f7100873e0819081941ca63dad0a0d |
completed | May 3, 2026, 9:06 a.m. |
| PD | Predicate disambiguation | batch_69f70f3c5bfc81908585f52e196dafe5 |
completed | May 3, 2026, 9:02 a.m. |
Created at: May 1, 2026, 1:55 a.m.