Triple
T17162078
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Martin |
E416504
|
entity |
| Predicate | hasAttraction |
P105
|
FINISHED |
| Object | Maho Beach |
E909762
|
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: Maho Beach | Statement: [Saint Martin, hasAttraction, Maho Beach]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Maho Beach Context triple: [Saint Martin, hasAttraction, Maho Beach]
-
A.
Maho Beach
chosen
Maho Beach is a famous beach on the Caribbean island of Sint Maarten known for its extremely low-flying airplanes passing just overhead during landings and takeoffs.
-
B.
Tayai Beach
Tayai Beach is a scenic sandy beach on the island of Koh Larn in Thailand, known for its clear waters and relaxed, less-crowded atmosphere.
-
C.
Waturi Beach
Waturi Beach is the main wave pool and sandy shoreline area at Universal’s Volcano Bay water theme park, offering swimming, relaxation, and views of the central volcano.
-
D.
Matras Beach
Matras Beach is a popular white-sand coastal destination on Bangka Island in Indonesia, known for its gentle waves, granite boulders, and relaxed seaside atmosphere.
-
E.
Baina Beach
Baina Beach is a popular coastal stretch in Goa, India, known for its scenic shoreline, water sports, and proximity to the port town of Vasco da Gama.
- 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_69d886d279c081909f8ff1f743ddeb69 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3f91258648190a40396067ba5ecd3 |
completed | April 18, 2026, 9:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03e224826081909acf33358b0f9fa9 |
completed | May 13, 2026, 2:29 a.m. |
Created at: April 10, 2026, 5:37 a.m.