Triple

T7522544
Position Surface form Disambiguated ID Type / Status
Subject Sikkim E177807 entity
Predicate largestCity P235 FINISHED
Object Gangtok E165059 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: Gangtok | Statement: [Sikkim, largestCity, Gangtok]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gangtok
Context triple: [Sikkim, largestCity, Gangtok]
  • A. Gangtok chosen
    Gangtok is the capital city of the Indian state of Sikkim, known for its Himalayan scenery, Buddhist monasteries, and role as a major cultural and tourism hub in the region.
  • B. Itanagar
    Itanagar is a northeastern Indian city known as the administrative and political center of Arunachal Pradesh, situated in the foothills of the Himalayas.
  • C. 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.
  • D. Nainital
    Nainital is a popular hill station and lake town in northern India, known for its scenic beauty and colonial-era charm.
  • E. Dharamshala
    Dharamshala is a hill town in northern India known as the residence of the Dalai Lama and the headquarters of the Tibetan government-in-exile.
  • 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_69c69f29bf3081909a146aec7755f185 completed March 27, 2026, 3:15 p.m.
NER Named-entity recognition batch_69c6f7c3c4c08190ad418978afcc98ec completed March 27, 2026, 9:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8614787988190bb5479677f8485d2 completed March 28, 2026, 11:16 p.m.
Created at: March 27, 2026, 3:46 p.m.