Triple
T125213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Caribbean Community (associate member) |
E2531
|
entity |
| Predicate | hasExample |
P1259
|
FINISHED |
| Object | Montserrat |
E17737
|
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: Montserrat | Statement: [Caribbean Community (associate member), hasExample, Montserrat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montserrat Context triple: [Caribbean Community (associate member), hasExample, Montserrat]
-
A.
Montserrat
chosen
Montserrat is a small Caribbean island and British Overseas Territory known for its volcanic activity and lush, mountainous landscape.
-
B.
Nevis
Nevis is a small volcanic island in the Caribbean known for its lush landscapes, historic plantations, and tranquil beaches.
-
C.
Monte San Valentín
Monte San Valentín is a prominent glaciated mountain in Chilean Patagonia and the region’s highest summit, known for its remote location and challenging climbing conditions.
-
D.
Cerro San Cristóbal
Cerro San Cristóbal is a prominent hill and urban park in Santiago, Chile, known for its panoramic city views, religious sanctuaries, and recreational attractions.
-
E.
Cerro Jefe
Cerro Jefe is a prominent mountain in central Panama known for its cloud forests, biodiversity, and panoramic views over the surrounding isthmus.
- 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_69a251b54ea88190b18281669f59b4c0 |
completed | Feb. 28, 2026, 2:23 a.m. |
| NER | Named-entity recognition | batch_69a2573e4e6481908252dfef2e34f46e |
completed | Feb. 28, 2026, 2:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a2db5239308190bbea75f856b8dfbe |
completed | Feb. 28, 2026, 12:10 p.m. |
Created at: Feb. 28, 2026, 2:27 a.m.