Triple
T12287412
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mont Perdu |
E292864
|
entity |
| Predicate | nearestMajorTownSpain |
P42873
|
FINISHED |
| Object | Torla-Ordesa vicinity |
—
|
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: Torla-Ordesa vicinity | Statement: [Mont Perdu, nearestMajorTownSpain, Torla-Ordesa vicinity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: nearestMajorTownSpain Context triple: [Mont Perdu, nearestMajorTownSpain, Torla-Ordesa vicinity]
-
A.
nearestMajorCity
Indicates that one city is the closest significant urban center to another location or city compared to all other major cities.
-
B.
mainRegionInSpain
Indicates that a location is the primary or most significant region associated with a place or entity within Spain.
-
C.
hasNearestLargerSettlement
chosen
Indicates that one settlement is associated with the geographically closest settlement that is larger in size or population.
-
D.
inAutonomousCommunity
Indicates that one entity is located within or belongs administratively to a specific autonomous community.
-
E.
autonomousCommunity
Indicates that one entity is an autonomous community (a self-governing territorial division) within the jurisdiction or structure of another entity.
- 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_69d6ab690ad081908c0ed3870ec82d53 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d9261e1570819084bb4fdb44aa6aea |
completed | April 10, 2026, 4:32 p.m. |
| PD | Predicate disambiguation | batch_69d91c4d9a9c8190aeb7beaf9792d8f0 |
completed | April 10, 2026, 3:50 p.m. |
Created at: April 8, 2026, 9:52 p.m.