Triple
T19032957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint Lucia |
E465790
|
entity |
| Predicate | mountain |
P10602
|
FINISHED |
| Object | Petit Piton |
—
|
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: Petit Piton | Statement: [Saint Lucia, mountain, Petit Piton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Petit Piton Context triple: [Saint Lucia, mountain, Petit Piton]
-
A.
Petit Piton
chosen
Petit Piton is one of Saint Lucia’s iconic twin volcanic spires, renowned for its dramatic rise from the Caribbean Sea and status as part of a UNESCO World Heritage Site.
-
B.
Mavoko
Mavoko is a rapidly growing industrial and residential town in Kenya’s Machakos County that forms part of the greater Nairobi metropolitan area.
-
C.
Piti
Piti is a coastal village and port area on the western shore of Guam, known for its harbor facilities and proximity to Apra Harbor.
-
D.
Mon Repos
Mon Repos is a coastal area in Queensland, Australia, best known for its important marine turtle rookery and conservation park.
-
E.
Valongo
Valongo is a municipality in Portugal’s Porto District, known for its proximity to Porto and its mix of urban areas, industrial zones, and natural landscapes.
- 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_69d8dd0359648190bc2a9202c5cf29d2 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d741cabc8190900e12265ad269f8 |
completed | April 20, 2026, 7:35 a.m. |
Created at: April 10, 2026, 12:02 p.m.