Triple
T446208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | British Overseas Territories |
E7025
|
entity |
| Predicate | include |
P1393
|
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: [British Overseas Territories, include, Montserrat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Montserrat Context triple: [British Overseas Territories, include, 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.
Monchique
Monchique is a mountainous spa town in southern Portugal known for its lush forests, thermal springs, and panoramic views over the Algarve region.
-
E.
Cerro de la Silla
Cerro de la Silla is a distinctive saddle-shaped mountain and iconic natural symbol overlooking the city of Monterrey in northeastern Mexico.
- 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_69a2e7e4676c81909ea0dbdecac0687c |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ef62c7a88190851fcd57658b4102 |
completed | Feb. 28, 2026, 1:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a447fdbcb881908299f7f72a3b7947 |
completed | March 1, 2026, 2:06 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.