Triple

T19873056
Position Surface form Disambiguated ID Type / Status
Subject Sangre de Cristo region E477568 entity
Predicate contains P35 FINISHED
Object Blanca Massif NE NERFINISHED

How this triple was built (3 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: Blanca Massif | Statement: [Sangre de Cristo region, contains, Blanca Massif]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blanca Massif
Context triple: [Sangre de Cristo region, contains, Blanca Massif]
  • A. La Silla mountain
    La Silla mountain is a peak in Chile’s Atacama Desert that hosts major astronomical facilities and is known for its exceptionally clear, dark skies.
  • B. Llulla Makta
    Llulla Makta is a track from the Peruvian metal band Yawarhiem’s album "Legend of the Sun Virgin," which blends Andean folk elements with heavy metal.
  • C. Sierra de la Giganta
    Sierra de la Giganta is a rugged mountain range in Baja California Sur, Mexico, known for its dramatic cliffs, desert landscapes, and proximity to the Gulf of California.
  • D. Sierra de Famatina
    Sierra de Famatina is a prominent mountain range in La Rioja Province, Argentina, known for its high peaks, mining history, and striking arid landscapes.
  • E. Sumapaz Massif
    The Sumapaz Massif is a high Andean region in central Colombia best known for containing Sumapaz Páramo, the largest páramo (high-altitude tropical moorland) ecosystem in the world.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Blanca Massif
Target entity description: Blanca Massif is a prominent high-elevation mountain group in southern Colorado’s Sangre de Cristo Range, known for its rugged peaks including Blanca Peak, one of the state’s famed fourteeners.
  • A. La Silla mountain
    La Silla mountain is a peak in Chile’s Atacama Desert that hosts major astronomical facilities and is known for its exceptionally clear, dark skies.
  • B. Llulla Makta
    Llulla Makta is a track from the Peruvian metal band Yawarhiem’s album "Legend of the Sun Virgin," which blends Andean folk elements with heavy metal.
  • C. Sierra de la Giganta
    Sierra de la Giganta is a rugged mountain range in Baja California Sur, Mexico, known for its dramatic cliffs, desert landscapes, and proximity to the Gulf of California.
  • D. Sierra de Famatina
    Sierra de Famatina is a prominent mountain range in La Rioja Province, Argentina, known for its high peaks, mining history, and striking arid landscapes.
  • E. Sumapaz Massif
    The Sumapaz Massif is a high Andean region in central Colombia best known for containing Sumapaz Páramo, the largest páramo (high-altitude tropical moorland) ecosystem in the world.
  • F. None of above. chosen

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_69d8e51e7d948190aedbcd6c30361c39 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658d92f9c8190b363587ed1881c2c completed April 20, 2026, 4:48 p.m.
Created at: April 10, 2026, 1:51 p.m.