Triple
T1693580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culebrita Lighthouse |
E36603
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Culebrita |
E36603
|
NE 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: Culebrita | Statement: [Culebrita Lighthouse, locatedOn, Culebrita]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Culebrita Context triple: [Culebrita Lighthouse, locatedOn, Culebrita]
-
A.
Culebrita
chosen
Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
-
B.
Guane
Guane is a small town and municipality in western Cuba known for its rural character and tobacco-growing traditions.
-
C.
Culebra
Culebra is a small Caribbean island municipality of Puerto Rico known for its pristine beaches, clear waters, and protected wildlife refuges.
-
D.
Pinta
Pinta was one of the three ships in Christopher Columbus's 1492 expedition that led to the European discovery of the Americas.
-
E.
Papagos
Papagos is a Greek surname most notably associated with Alexandros Papagos, a prominent Greek general and post–World War II prime minister.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a886163dec8190859c514232a37a05 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa62b228988190a7d19003ddf10ce5 |
completed | March 6, 2026, 5:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adb5bc1db881908e859dbde2ea2d98 |
completed | March 8, 2026, 5:45 p.m. |
Created at: March 4, 2026, 7:29 p.m.