Triple

T20069491
Position Surface form Disambiguated ID Type / Status
Subject Sierra Madre mountain range (eastern foothills of Luzon) E499695 entity
Predicate lengthRankingInPhilippines P138579 FINISHED
Object longest mountain range in the Philippines LITERAL 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: longest mountain range in the Philippines | Statement: [Sierra Madre mountain range (eastern foothills of Luzon), lengthRankingInPhilippines, longest mountain range in the Philippines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lengthRankingInPhilippines
Context triple: [Sierra Madre mountain range (eastern foothills of Luzon), lengthRankingInPhilippines, longest mountain range in the Philippines]
  • A. rankByAreaInPhilippines
    Indicates the relative ordering of entities based on their area size specifically within the Philippines.
  • B. rankingByLengthInChina
    Indicates that entities are ordered or evaluated based on their length within the context of China.
  • C. lengthRankingInNewZealand
    Indicates the relative ordering of entities based on their length specifically within the context of New Zealand.
  • D. rankByLengthInAsia
    Indicates that entities are ordered or compared based on their length within the context of Asia.
  • E. rankByLengthInIndia
    Indicates an ordering of items based on their length specifically within the context or boundaries of India.
  • F. None of above. chosen

Provenance (4 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_69da627770948190997f486f9a2e370f completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e664365ad0819089103b00d1cf8c9f completed April 20, 2026, 5:36 p.m.
PD Predicate disambiguation batch_69e54cee7a5c819084ae4ff26419833f completed April 19, 2026, 9:45 p.m.
PDg Predicate description generation batch_69e54fc20888819083c9118a09d0d2dc completed April 19, 2026, 9:57 p.m.
Created at: April 11, 2026, 3:39 p.m.