Triple

T13925929
Position Surface form Disambiguated ID Type / Status
Subject Mizos E334860 entity
Predicate capitalRegion P3877 FINISHED
Object Aizawl E168300 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: Aizawl | Statement: [Mizos, capitalRegion, Aizawl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Aizawl
Context triple: [Mizos, capitalRegion, Aizawl]
  • A. Aizawl chosen
    Aizawl is the hilly capital city of the Indian state of Mizoram, known for its scenic landscapes and vibrant Mizo culture in Northeast India.
  • B. Imphal
    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.
  • C. Arwal
    Arwal is a small town and administrative center in the Indian state of Bihar, known for its agrarian surroundings and proximity to larger regional hubs.
  • D. 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.
  • E. Champhai
    Champhai is a town in the Indian state of Mizoram, known as a major commercial and cultural hub near the India–Myanmar border.
  • 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_69d81c5f739081908bc05b2461f54828 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2aa7e9248190b0523415b9224e2f completed April 14, 2026, 11:53 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7ce80a3188190ac481b2de709d4f8 completed May 3, 2026, 10:38 p.m.
Created at: April 9, 2026, 10:16 p.m.