Triple
T38121699
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alba Peak |
E951953
|
entity |
| Predicate | hasNearestRefuge |
P193170
|
FINISHED |
| Object | Refugio de la Renclusa |
—
|
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: Refugio de la Renclusa | Statement: [Alba Peak, hasNearestRefuge, Refugio de la Renclusa]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearestRefuge Context triple: [Alba Peak, hasNearestRefuge, Refugio de la Renclusa]
-
A.
closestRefuge
chosen
Indicates that one location serves as the nearest place of safety or shelter relative to another specified point or entity.
-
B.
hasNearbySanctuary
Indicates that one entity has a sanctuary or place of refuge located close to it in space or distance.
-
C.
hasNearestCamp
Indicates that one entity is the closest camp in distance or proximity to another specified entity.
-
D.
hasNotableRefuge
Indicates that an entity is associated with a particularly important or well-known place of refuge or shelter.
-
E.
seeksRefugeAt
Indicates that one entity goes to or turns to another entity or location for safety, protection, or shelter, especially in a time of danger or distress.
- 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_69f76f07734c8190814e937e12257a78 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00be8ee4bc8190b795d9606f0e490c |
completed | May 10, 2026, 5:21 p.m. |
| PD | Predicate disambiguation | batch_6a00bde163c88190867104bd08cac2ee |
completed | May 10, 2026, 5:18 p.m. |
Created at: May 3, 2026, 4:21 p.m.