Triple

T7365155
Position Surface form Disambiguated ID Type / Status
Subject Golaghat district E169851 entity
Predicate borders P224 FINISHED
Object Nagaland E40020 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: Nagaland | Statement: [Golaghat district, borders, Nagaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagaland
Context triple: [Golaghat district, borders, Nagaland]
  • A. Nagaland chosen
    Nagaland is a mountainous state in northeastern India known for its diverse indigenous Naga tribes, vibrant festivals, and rich cultural heritage.
  • B. Arunachal Pradesh
    Arunachal Pradesh is a northeastern Indian state known for its mountainous terrain, diverse indigenous cultures, and strategic location along the borders with China, Bhutan, and Myanmar.
  • C. Mizoram
    Mizoram is a hilly, forested state in northeastern India known for its Mizo culture, high literacy rate, and scenic landscapes along the border with Myanmar and Bangladesh.
  • D. Manipur
    Manipur is a northeastern Indian state known for its scenic hills and valleys, rich indigenous cultures, and capital city Imphal.
  • E. Karbi Anglong
    Karbi Anglong is a hilly, tribal-majority district in the Indian state of Assam known for its rich biodiversity, cultural diversity, and ongoing autonomy movements.
  • 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_69c68a5ade988190885b7175f63b7534 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f161d76081909da6d698fb3d8bb1 completed March 27, 2026, 9:06 p.m.
NED1 Entity disambiguation (via context triple) batch_69c9e05085588190ba940f2a5280a57e completed March 30, 2026, 2:30 a.m.
Created at: March 27, 2026, 3:06 p.m.