Triple

T18310369
Position Surface form Disambiguated ID Type / Status
Subject Sagbayan Peak E438607 entity
Predicate hasViewOf P854 FINISHED
Object Carmen plateau area 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: Carmen plateau area | Statement: [Sagbayan Peak, hasViewOf, Carmen plateau area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carmen plateau area
Context triple: [Sagbayan Peak, hasViewOf, Carmen plateau area]
  • A. Compostela Valley
    Compostela Valley, now officially known as Davao de Oro, is a landlocked province in the Davao Region of Mindanao in the Philippines, noted for its rich mineral resources and agricultural production.
  • B. Aigualluts plateau
    Aigualluts plateau is a scenic high-mountain meadow area in the Spanish Pyrenees, known for its karstic landscapes, waterfalls, and views of the Aneto massif.
  • C. Hauran plateau
    The Hauran plateau is a fertile volcanic region in southwestern Syria and northern Jordan, known for its rich agricultural land and historical settlements.
  • D. Serranía de Cuenca
    Serranía de Cuenca is a mountainous natural area in central-eastern Spain known for its dramatic karst landscapes, deep gorges, and extensive pine forests.
  • E. Talamanca
    Talamanca is a small municipality in the comarca of Bages in Catalonia, Spain, known for its rural character and scenic inland Catalan landscape.
  • 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: Carmen plateau area
Target entity description: The Carmen plateau area is a highland region in Bohol, Philippines, known for its rolling terrain and panoramic rural landscapes visible from viewpoints like Sagbayan Peak.
  • A. Compostela Valley
    Compostela Valley, now officially known as Davao de Oro, is a landlocked province in the Davao Region of Mindanao in the Philippines, noted for its rich mineral resources and agricultural production.
  • B. Aigualluts plateau
    Aigualluts plateau is a scenic high-mountain meadow area in the Spanish Pyrenees, known for its karstic landscapes, waterfalls, and views of the Aneto massif.
  • C. Hauran plateau
    The Hauran plateau is a fertile volcanic region in southwestern Syria and northern Jordan, known for its rich agricultural land and historical settlements.
  • D. Serranía de Cuenca
    Serranía de Cuenca is a mountainous natural area in central-eastern Spain known for its dramatic karst landscapes, deep gorges, and extensive pine forests.
  • E. Talamanca
    Talamanca is a small municipality in the comarca of Bages in Catalonia, Spain, known for its rural character and scenic inland Catalan landscape.
  • 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e502180d208190ae7c4f3d0ef3dc55 completed April 19, 2026, 4:26 p.m.
Created at: April 10, 2026, 10:36 a.m.