Triple

T17206928
Position Surface form Disambiguated ID Type / Status
Subject Glen Vowell (Sik-e-dakh) E417626 entity
Predicate hasAlternativeName P39 FINISHED
Object Sik-e-dakh E1256865 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: Sik-e-dakh | Statement: [Glen Vowell (Sik-e-dakh), hasAlternativeName, Sik-e-dakh]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sik-e-dakh
Context triple: [Glen Vowell (Sik-e-dakh), hasAlternativeName, Sik-e-dakh]
  • A. Sik-e-dakh chosen
    Sik-e-dakh is a Gitxsan First Nation community in northwestern British Columbia, Canada, traditionally known as Glen Vowell.
  • B. Sikrai
    Sikrai is a town located in the Dausa district of the Indian state of Rajasthan.
  • C. Kallar Kahar
    Kallar Kahar is a town in Pakistan’s Punjab province known for its scenic lake, historic Mughal-era garden, and location along the M2 Motorway.
  • D. Khak-e Safid
    Khak-e Safid is a rural settlement in western Afghanistan known primarily as a district center within Farah Province.
  • E. Bang-e-Dara
    Bang-e-Dara is a celebrated Urdu poetry collection by philosopher-poet Allama Muhammad Iqbal that traces his intellectual and spiritual evolution and played a key role in inspiring Muslim political consciousness in South Asia.
  • 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_69d886d6ba8c819093215917b3d01689 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc193488190a2c5a48ce7f631a9 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01674df2cc8190be602b15d49d38d0 completed May 11, 2026, 5:21 a.m.
Created at: April 10, 2026, 5:38 a.m.