Triple
T6826126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teide–Pico Viejo complex |
E157019
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Pico Viejo |
E157270
|
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: Pico Viejo | Statement: [Teide–Pico Viejo complex, hasPart, Pico Viejo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pico Viejo Context triple: [Teide–Pico Viejo complex, hasPart, Pico Viejo]
-
A.
Pico Viejo
chosen
Pico Viejo is a large volcanic crater and prominent secondary summit on Tenerife in Spain’s Canary Islands, forming part of the Teide volcanic complex.
-
B.
Pico del Águila
Pico del Águila is a prominent mountain peak and popular hiking destination located within the borough of Tlalpan in southern Mexico City.
-
C.
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.
-
D.
Pico del Pinar
Pico del Pinar is a prominent mountain peak in southern Spain’s Sierra del Pinar range, known for its rugged limestone landscapes and panoramic views over Cádiz Province.
-
E.
Pico la Virgen
Pico la Virgen is one of the principal summits of Cerro de la Silla, the iconic mountain overlooking 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d58375248190935dd38d618994e3 |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fa6fc80819081f012ea2207c25a |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:18 p.m.