Triple
T4731963
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Culebra |
E105029
|
entity |
| Predicate | hasBeach |
P1922
|
FINISHED |
| Object | Flamenco Beach |
E15224
|
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: Flamenco Beach | Statement: [Culebra, hasBeach, Flamenco Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flamenco Beach Context triple: [Culebra, hasBeach, Flamenco Beach]
-
A.
Flamenco Beach
chosen
Flamenco Beach is a renowned white-sand, turquoise-water beach on the island of Culebra in Puerto Rico, often ranked among the most beautiful beaches in the world.
-
B.
Flamenco Island
Flamenco Island is a small island off the Pacific coast of Panama City, known for its marina, restaurants, and role as a popular tourist and leisure destination.
-
C.
Sugar Beach
Sugar Beach is a long, sandy shoreline in Kihei, Maui, known for its calm waters, sunset views, and opportunities for walking, paddling, and whale watching.
-
D.
Silver Sands
Silver Sands is a popular sandy beach near Aberdour in Fife, Scotland, known for its scenic coastal views and recreational facilities.
-
E.
Guardalavaca
Guardalavaca is a popular beach resort area on Cuba’s northern coast, known for its white-sand beaches and clear turquoise waters.
- 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_69bd43ee52048190b81a4f066534ffb3 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd64647c788190b7aa908c42ac11cf |
completed | March 20, 2026, 3:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be10a9386c81908557fe4feb190e8a |
completed | March 21, 2026, 3:29 a.m. |
Created at: March 20, 2026, 1:19 p.m.