Triple

T21201903
Position Surface form Disambiguated ID Type / Status
Subject Ormuri language E522474 entity
Predicate primaryCommunity P6194 FINISHED
Object Kaniguram 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: Kaniguram | Statement: [Ormuri language, primaryCommunity, Kaniguram]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaniguram
Context triple: [Ormuri language, primaryCommunity, Kaniguram]
  • A. Kaniguram chosen
    Kaniguram is a historic town in South Waziristan, Pakistan, known as a traditional center of the Ormur (Burki) ethnic community.
  • B. Srikakulam
    Srikakulam is a city in the northeastern part of Andhra Pradesh, India, known as a regional administrative and commercial center near the Bay of Bengal.
  • C. Kallakurichi
    Kallakurichi is a town in the Indian state of Tamil Nadu, known as an agricultural and commercial center in the region.
  • D. Poondi
    Poondi is a small village in Tamil Nadu, India, known primarily as a base point for treks and pilgrimages to the nearby Vellingiri Hills.
  • E. Kotturpuram
    Kotturpuram is a residential neighborhood in Chennai, India, known for its proximity to educational institutions and its location along the Adyar River.
  • 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_69e0b5112d8881909510b2dcdc93106d completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73431973c81908c8682d7808a9d13 completed April 21, 2026, 8:24 a.m.
Created at: April 16, 2026, 3:18 p.m.