Triple

T19032486
Position Surface form Disambiguated ID Type / Status
Subject Avgo E465776 entity
Predicate mountainRange P648 FINISHED
Object Pangaion range NE NERFINISHED

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: Pangaion range | Statement: [Avgo, mountainRange, Pangaion range]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pangaion range
Context triple: [Avgo, mountainRange, Pangaion range]
  • A. Pangaion mountain range chosen
    The Pangaion mountain range is a historically significant massif in northern Greece, famed in antiquity for its rich gold and silver mines and its strategic location near the Aegean coast.
  • B. Pangaion Hills
    Pangaion Hills is a mountainous region in northern Greece historically known for its rich mineral resources and ancient mining activity.
  • C. Likhi Range
    Likhi Range is a mountain range in central Georgia that forms a natural divide between the country’s eastern and western regions.
  • D. Pahvant Range
    Pahvant Range is a mountain range in central Utah known for its rugged terrain, volcanic features, and outdoor recreation opportunities.
  • E. Safed Koh range
    The Safed Koh range is a prominent mountain range along the Afghanistan–Pakistan border, known for its rugged peaks and strategic passes near the Khyber region.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8dd0359648190bc2a9202c5cf29d2 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5d7410dd08190b08a7c0a2b8d67f3 completed April 20, 2026, 7:35 a.m.
Created at: April 10, 2026, 12:02 p.m.