Triple

T22569409
Position Surface form Disambiguated ID Type / Status
Subject Imphal Valley E558039 entity
Predicate contains P35 FINISHED
Object Imphal 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: Imphal | Statement: [Imphal Valley, contains, Imphal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Imphal
Context triple: [Imphal Valley, contains, Imphal]
  • A. Imphal chosen
    Imphal is the capital city of the Indian state of Manipur, known for its scenic valleys, historic Kangla Fort, and cultural significance in Northeast India.
  • B. Shillong
    Shillong is the capital city of the northeastern Indian state of Meghalaya, known for its scenic hills, colonial-era architecture, and vibrant cultural life.
  • C. Itanagar
    Itanagar is a northeastern Indian city known as the administrative and political center of Arunachal Pradesh, situated in the foothills of the Himalayas.
  • D. Guwahati
    Guwahati is a major city in northeastern India, serving as a key cultural, economic, and transportation hub for the region.
  • E. Aizawl
    Aizawl is the hilly capital city of the Indian state of Mizoram, known for its scenic landscapes and vibrant Mizo culture in Northeast India.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fac7db08190ba4660535571498d completed April 29, 2026, 1:32 a.m.
Created at: April 16, 2026, 8:52 p.m.