Triple
T4152826
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Basseterre |
E89945
|
entity |
| Predicate | hasNearbyIsland |
P970
|
FINISHED |
| Object | Nevis |
E16514
|
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: Nevis | Statement: [Basseterre, hasNearbyIsland, Nevis]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nevis Context triple: [Basseterre, hasNearbyIsland, Nevis]
-
A.
Nevis
chosen
Nevis is a small volcanic island in the Caribbean known for its lush landscapes, historic plantations, and tranquil beaches.
-
B.
Nevis Range
Nevis Range is a Scottish mountain resort near Fort William, known for its skiing, mountain biking, and access to the slopes of Aonach Mòr.
-
C.
Mount Carlo
Mount Carlo is a lesser-known peak in the rugged Mahoosuc Range of the northern Appalachian Mountains in New England.
-
D.
Meru
Meru is a town in eastern Kenya that serves as a commercial and administrative hub for the surrounding agricultural region near Mount Kenya.
-
E.
Piton des Neiges
Piton des Neiges is a massive extinct shield volcano on Réunion Island and a popular hiking destination known for its panoramic summit views.
- 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_69aed95a59a881909b26e70b42c6811a |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69af0277a910819085cde5df9a8110d8 |
completed | March 9, 2026, 5:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b57f399c748190a87ca2a824dbfbca |
completed | March 14, 2026, 3:31 p.m. |
Created at: March 9, 2026, 3:44 p.m.