Triple

T2727744
Position Surface form Disambiguated ID Type / Status
Subject Monte Perdido E60232 entity
Predicate alsoKnownAs P39 FINISHED
Object Monte Perdido (Spanish) E60232 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: Monte Perdido (Spanish) | Statement: [Monte Perdido, alsoKnownAs, Monte Perdido (Spanish)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Perdido (Spanish)
Context triple: [Monte Perdido, alsoKnownAs, Monte Perdido (Spanish)]
  • A. Monte Perdido chosen
    Monte Perdido is the third-highest mountain in the Pyrenees, renowned for its dramatic limestone massif and location within Spain’s Ordesa y Monte Perdido National Park.
  • B. Pico de las Nieves
    Pico de las Nieves is the highest peak on the island of Gran Canaria in Spain’s Canary Islands, known for its panoramic views and distinctive volcanic landscape.
  • C. Mulhacén
    Mulhacén is the tallest mountain in mainland Spain, located in the Sierra Nevada range of the Iberian Peninsula.
  • D. 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.
  • E. 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.
  • 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_69ab4b75cd908190b691ef0d1801acda completed March 6, 2026, 9:47 p.m.
NER Named-entity recognition batch_69abdacffa6481909df37335e8fdd595 completed March 7, 2026, 7:59 a.m.
NED1 Entity disambiguation (via context triple) batch_69afce859ffc8190b88f82af50238215 completed March 10, 2026, 7:55 a.m.
Created at: March 6, 2026, 9:56 p.m.