Triple
T24361089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lajas, Puerto Rico |
E614058
|
entity |
| Predicate | hasNotableBarrio |
P4813
|
FINISHED |
| Object | La Parguera |
—
|
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: La Parguera | Statement: [Lajas, Puerto Rico, hasNotableBarrio, La Parguera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNotableBarrio Context triple: [Lajas, Puerto Rico, hasNotableBarrio, La Parguera]
-
A.
hasNumberOfBarrios
Indicates the specific count of barrios (neighborhoods) associated with a given entity.
-
B.
hasNeighbourhood
chosen
Indicates that one entity is located within, or is associated with, a particular neighborhood area of another entity.
-
C.
hasNotableBay
Indicates that a place possesses a bay that is recognized for its significance, prominence, or special interest.
-
D.
hasNotableStreet
Indicates that an entity is associated with a particular street that is considered notable or significant.
-
E.
hasNotableTown
Indicates that an entity includes or is associated with a town that is considered notable or significant in some way.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29384a2f88190885eb141c5c44a2d |
completed | April 29, 2026, 11:25 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2 a.m.