Triple
T16475286
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culebra ferry terminal |
E400171
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Culebra |
E2678
|
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: Culebra | Statement: [Culebra ferry terminal, locatedIn, Culebra]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Culebra Context triple: [Culebra ferry terminal, locatedIn, 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.
Culebrita
Culebrita is a small, uninhabited cay off the coast of Culebra, Puerto Rico, known for its pristine beaches, clear waters, and historic lighthouse.
-
D.
Guana
Guana is a dialect of the Terena language spoken by Indigenous communities in parts of South America.
-
E.
Caimanera
Caimanera is a Cuban coastal town best known for its proximity to the U.S. Guantánamo Bay Naval Base and its strategic location near the southeastern tip of the island.
- 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_69d883813098819084f5409539723b59 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e32dd43cf88190881a5cbc80da1490 |
completed | April 18, 2026, 7:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f5f238881909b5f2fb41da3f932 |
completed | May 10, 2026, 9:26 a.m. |
Created at: April 10, 2026, 5:13 a.m.