Triple

T12287414
Position Surface form Disambiguated ID Type / Status
Subject Mont Perdu E292864 entity
Predicate hasOfficialNameInSpanish P2789 FINISHED
Object Monte Perdido 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 | Statement: [Mont Perdu, hasOfficialNameInSpanish, Monte Perdido]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Monte Perdido
Context triple: [Mont Perdu, hasOfficialNameInSpanish, Monte Perdido]
  • 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. Mount Tomanivi
    Mount Tomanivi is the highest mountain in Fiji, a dormant volcano located on the island of Viti Levu.
  • C. Pico Mountain
    Pico Mountain is a popular ski and snowboard resort in Vermont’s Green Mountains, known for its varied terrain and family-friendly atmosphere.
  • D. Cerro Torre
    Cerro Torre is a dramatic, needle-like granite peak in the Southern Patagonian Ice Field, famed among climbers for its extreme difficulty, fierce weather, and iconic ice-capped summit.
  • E. Picota peak
    Picota peak is a prominent mountain summit in Portugal’s Serra de Monchique range, known for its panoramic views over the Algarve region.
  • 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_69d6ab690ad081908c0ed3870ec82d53 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91d1ffb208190a4b86d7d4ceee045 completed April 10, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6685205608190b504ab6e7c73ee51 completed May 2, 2026, 9:10 p.m.
Created at: April 8, 2026, 9:52 p.m.