Triple
T25057248
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peñuelas, Puerto Rico |
E627552
|
entity |
| Predicate | isLinkedByHighwayTo |
P11435
|
FINISHED |
| Object | Guayanilla, Puerto Rico |
—
|
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: Guayanilla, Puerto Rico | Statement: [Peñuelas, Puerto Rico, isLinkedByHighwayTo, Guayanilla, Puerto Rico]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isLinkedByHighwayTo Context triple: [Peñuelas, Puerto Rico, isLinkedByHighwayTo, Guayanilla, Puerto Rico]
-
A.
connectsToHighway
Indicates that one location, road, or route has a direct access point or linkage to a highway.
-
B.
linkedByRoadTo
chosen
Indicates that two locations are directly connected to each other by a road suitable for travel.
-
C.
motorwayServedBy
Indicates that a motorway is connected to or accessed by a particular service facility, route, or transport service.
-
D.
motorwayConnectionWith
Indicates that two locations are directly connected by a motorway, allowing vehicular travel between them via that road.
-
E.
nationalHighwayConnectivity
Indicates the extent to which locations are linked by a network of national highways enabling direct or efficient road travel between them.
- 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_69e2ff2c45f48190afa28369f1df6786 |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f459958c908190a377bb3cf34b1b28 |
completed | May 1, 2026, 7:43 a.m. |
| PD | Predicate disambiguation | batch_69f44d77f6e88190a4643ab2cbef567b |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:09 a.m.