Triple
T6690740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Puerto Rico Highway Patrol |
E152618
|
entity |
| Predicate | patrolAreaType |
P21276
|
FINISHED |
| Object | limited-access highways |
—
|
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: limited-access highways | Statement: [Puerto Rico Highway Patrol, patrolAreaType, limited-access highways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: patrolAreaType Context triple: [Puerto Rico Highway Patrol, patrolAreaType, limited-access highways]
-
A.
parkAreaType
Indicates the classification of a park’s area according to its designated type or functional category.
-
B.
patrolledBy
chosen
Indicates that an area, route, or domain is regularly monitored or guarded by a specific agent or group.
-
C.
patronageArea
Indicates the geographic or administrative area within which a patron (such as a sponsor, supporter, or benefactor) exercises their support, influence, or protective role.
-
D.
hasAreaType
Indicates that an entity is associated with a specific kind or classification of area (e.g., urban, rural, coastal).
-
E.
parkType
Indicates the specific category or classification of a park based on its designated use, management, or characteristics.
- 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_69c6880687b08190805278b504d1c92c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6cd0fa5188190a23281cb09d98139 |
completed | March 27, 2026, 6:31 p.m. |
| PD | Predicate disambiguation | batch_69c6ad0d3c1081908dadff7a6a054123 |
completed | March 27, 2026, 4:15 p.m. |
Created at: March 27, 2026, 2:04 p.m.