Triple
T38190199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Rico Highway 100 |
E1005436
|
entity |
| Predicate | terminusForAccessTo |
P133882
|
FINISHED |
| Object | Cabo Rojo Lighthouse area |
—
|
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: Cabo Rojo Lighthouse area | Statement: [Puerto Rico Highway 100, terminusForAccessTo, Cabo Rojo Lighthouse area]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: terminusForAccessTo Context triple: [Puerto Rico Highway 100, terminusForAccessTo, Cabo Rojo Lighthouse area]
-
A.
terminus
Indicates that one entity serves as the final endpoint or stopping place for another entity’s movement, route, or process.
-
B.
isTerminusAccessFor
chosen
Indicates that one location or facility serves as an access point or terminal endpoint for another transportation route, service, or system.
-
C.
terminusTowards
Indicates that one entity serves as the endpoint or directional terminus oriented toward another entity.
-
D.
terminusConnectsTo
Indicates that a transportation route’s endpoint is directly linked or transitions to another route, line, or terminal.
-
E.
terminusLocatedOn
Indicates that the endpoint or final stop of one entity (such as a route or line) is situated on or at another entity (such as a street, line, or location).
- 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_69f76dbd22f48190940318cea061e8bb |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fce28d6c3081908bf76f5db63ecf68 |
completed | May 7, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69fce12d2f08819082134b5eb3db6a24 |
completed | May 7, 2026, 6:59 p.m. |
Created at: May 3, 2026, 4:29 p.m.