Triple

T22424351
Position Surface form Disambiguated ID Type / Status
Subject Central Range E554329 entity
Predicate hasName P744 FINISHED
Object Central 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: Central Range | Statement: [Central Range, hasName, Central Range]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Range
Context triple: [Central Range, hasName, Central Range]
  • A. Central Range chosen
    Central Range is the massive, rugged mountain backbone of New Guinea, stretching across the island and containing many of its highest peaks and diverse highland ecosystems.
  • B. Central Range
    Central Range is a low, forested mountain range running east–west through central Trinidad, forming one of the island’s main upland regions.
  • C. Southern Range
    The Southern Range is a low, discontinuous chain of hills in southern Trinidad known for its forested landscapes and biodiversity.
  • D. Central Mountain Range
    The Central Mountain Range is Taiwan’s principal and longest mountain chain, running north–south through the island’s interior and forming a major climatic and geographic divide.
  • E. Central Massif
    The Central Massif is the main and highest limestone mountain block within Spain’s Picos de Europa range, known for its dramatic peaks and deep glacial valleys.
  • 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_69e11e4f2d0c819091aa3558ea2ee630 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15a2c47bc81908b8265d83fa6fb65 completed April 29, 2026, 1:09 a.m.
Created at: April 16, 2026, 8:47 p.m.