Triple

T8748274
Position Surface form Disambiguated ID Type / Status
Subject Seven Sister States E207887 entity
Predicate hasPart P35 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: [Seven Sister States, hasPart, Nagaland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nagaland
Context triple: [Seven Sister States, hasPart, 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_69ca835bb2bc819084bb5906cb6ef7f8 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5da2d67c819094b2b39c78384d0d completed March 31, 2026, 11:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69d0f3391ff08190a725b0549fb0bc89 completed April 4, 2026, 11:17 a.m.
Created at: March 30, 2026, 6:39 p.m.