Triple
T25613939
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mineral de la Reforma |
E642109
|
entity |
| Predicate | locatedInGeopark |
P74959
|
FINISHED |
| Object | Comarca Minera UNESCO Global Geopark |
—
|
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: Comarca Minera UNESCO Global Geopark | Statement: [Mineral de la Reforma, locatedInGeopark, Comarca Minera UNESCO Global Geopark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInGeopark Context triple: [Mineral de la Reforma, locatedInGeopark, Comarca Minera UNESCO Global Geopark]
-
A.
geoparkNetwork
chosen
Indicates that a location or area is part of, associated with, or recognized within a designated geopark network.
-
B.
locatedInNationalOrProvincialPark
Indicates that one entity is situated within the boundaries of a national or provincial park.
-
C.
locatedInNationalParkOrQuasiNationalPark
Indicates that something is situated within the boundaries of a national park or a quasi-national park.
-
D.
locatedNearNationalPark
Indicates that one place or entity is situated in close proximity to a national park.
-
E.
locatedInNationalCharacterArea
Indicates that one entity is geographically situated within the boundaries of a specified national character area.
- 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_69e75dc6ccf081908d49578fd36a76d5 |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f7979a073881909a4fde2558e6b6f3 |
completed | May 3, 2026, 6:44 p.m. |
| PD | Predicate disambiguation | batch_69f7961550f88190b7bb8a9155458b54 |
completed | May 3, 2026, 6:38 p.m. |
Created at: April 21, 2026, 4:43 p.m.