Triple

T8231417
Position Surface form Disambiguated ID Type / Status
Subject Pico Turquino E192300 entity
Predicate mapLabel P13793 FINISHED
Object Pico Turquino E192300 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 Turquino | Statement: [Pico Turquino, mapLabel, Pico Turquino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pico Turquino
Context triple: [Pico Turquino, mapLabel, Pico Turquino]
  • A. Pico Turquino chosen
    Pico Turquino is the tallest mountain in Cuba, located in the Sierra Maestra range in the southeastern part of the island.
  • B. Pico Almanzor
    Pico Almanzor is the highest and most prominent peak in Spain’s Sierra de Gredos range, renowned for its rugged granite slopes and alpine climbing routes.
  • 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 Águila
    Pico del Águila is a prominent mountain peak and popular hiking destination located within the borough of Tlalpan in southern Mexico City.
  • E. Monte Toro
    Monte Toro is the tallest mountain on the Spanish island of Menorca, known for its panoramic views and a sanctuary at its summit.
  • 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_69ca82db5b90819085d1ad7c2e27bfcc completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7824a6c48190a3abb76c4c3dcc71 completed March 31, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd34e77fd08190a76f81de96d4e605 completed April 1, 2026, 3:08 p.m.
Created at: March 30, 2026, 5:46 p.m.