Triple
T26575115
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jayuya |
E666925
|
entity |
| Predicate | hasHighPointNearby |
P7612
|
FINISHED |
| Object | Cerro de Punta |
—
|
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: Cerro de Punta | Statement: [Jayuya, hasHighPointNearby, Cerro de Punta]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasHighPointNearby Context triple: [Jayuya, hasHighPointNearby, Cerro de Punta]
-
A.
hasHigherPeaksNearby
Indicates that an entity is located near other entities whose peak elevations are higher than its own.
-
B.
hasHighestPointNear
Indicates that one entity’s highest point is located close to another specified entity or location.
-
C.
hasNearbyPeak
chosen
Indicates that one location has another peak situated close to it in geographic space.
-
D.
hasHighPointStatus
Indicates that an entity holds a high or elevated status within a point-based or ranking system.
-
E.
highestPassNearby
Indicates that the referenced mountain pass is the highest one located within a specified nearby area or vicinity.
- 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_69ee9cfa21c081909e4e36e087debfc6 |
completed | April 26, 2026, 11:17 p.m. |
| NER | Named-entity recognition | batch_69f7817daf00819098936402e75ab0a6 |
completed | May 3, 2026, 5:10 p.m. |
| PD | Predicate disambiguation | batch_69f780fc5ed88190b7200ee5a29940af |
completed | May 3, 2026, 5:08 p.m. |
Created at: April 27, 2026, 2 a.m.