Triple
T18284754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peak of Fire |
E437953
|
entity |
| Predicate | hasSecondaryCone |
P41247
|
FINISHED |
| Object | Pico Pequeno |
—
|
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: Pico Pequeno | Statement: [Peak of Fire, hasSecondaryCone, Pico Pequeno]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pico Pequeno Context triple: [Peak of Fire, hasSecondaryCone, Pico Pequeno]
-
A.
Pico Pequeno
chosen
Pico Pequeno is a secondary volcanic cone on the slopes of Pico do Fogo, part of the active stratovolcano complex on Fogo Island in Cape Verde.
-
B.
Pico Truncado
Pico Truncado is a small city in southern Argentina known for its role in the oil and gas industry within Santa Cruz Province.
-
C.
Pico Naiguatá
Pico Naiguatá is a prominent mountain peak in northern Venezuela, known for its scenic views over the Caribbean coast and the city of Caracas.
-
D.
Pico de la Rimaya
Pico de la Rimaya is a mountain peak in the Spanish Pyrenees, known among mountaineers for its proximity to Aneto and its access from the Refugio de la Renclusa.
-
E.
Monte Penoso
Monte Penoso is the tallest mountain on the Cape Verdean island of Maio, known as its most prominent natural landmark.
- 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e500f913d48190b41a1e37ca05e8b1 |
completed | April 19, 2026, 4:21 p.m. |
Created at: April 10, 2026, 10:35 a.m.