Triple

T7016668
Position Surface form Disambiguated ID Type / Status
Subject Northeast India E162714 entity
Predicate hasMountainRange P651 FINISHED
Object Patkai Hills E162715 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: Patkai Hills | Statement: [Northeast India, hasMountainRange, Patkai Hills]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Patkai Hills
Context triple: [Northeast India, hasMountainRange, Patkai Hills]
  • A. Patkai Hills chosen
    Patkai Hills is a mountain range forming part of the Indo-Myanmar border region, known for its lush forests, rich biodiversity, and role as a gateway between India and Southeast Asia.
  • B. Barda Hills
    Barda Hills is a hilly region in the Indian state of Gujarat known for its wildlife sanctuary, diverse flora and fauna, and scenic landscapes.
  • C. Shan Hills
    The Shan Hills are a mountainous region in eastern Myanmar characterized by high plateaus, deep valleys, and a mix of ethnic Shan and other minority communities.
  • D. Baspa hills
    Baspa hills are a mountainous region in the Himalayas that form the high-altitude headwaters area of the Baspa River in northern India.
  • E. Shakarparian Hills
    Shakarparian Hills is a scenic hill area in Islamabad, Pakistan, known for its viewpoints, parks, and national monuments overlooking the city.
  • 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_69c6885a127c8190867b059bdccf13ff completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6e1d629fc81908854390ddf99b1db completed March 27, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775656fe48190a9690f5aaca3ba4c completed March 28, 2026, 6:29 a.m.
Created at: March 27, 2026, 2:34 p.m.