Triple
T21347717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luis Peña |
E526383
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Culebra |
—
|
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: Culebra | Statement: [Luis Peña, hasNearbyIsland, Culebra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Culebra Context triple: [Luis Peña, hasNearbyIsland, Culebra]
-
A.
Culebra
chosen
Culebra is a small Caribbean island municipality of Puerto Rico known for its pristine beaches, clear waters, and protected wildlife refuges.
-
B.
Rio Torto
Rio Torto is a small Italian watercourse that serves as the natural outlet of Lake Annone in the Lombardy region.
-
C.
Jagua
Jagua is a settlement in Cuba known for the nearby Castillo de Jagua, a historic coastal fortress guarding the Bay of Cienfuegos.
-
D.
Culebrita
Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
-
E.
Guana
Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8ad2d01b481909d9b4813ff37905c |
completed | April 22, 2026, 11:12 a.m. |
Created at: April 16, 2026, 5 p.m.