Triple

T13937641
Position Surface form Disambiguated ID Type / Status
Subject Tor Tiv E335159 entity
Predicate ethnolinguisticGroup P3349 FINISHED
Object Tiv E321208 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: Tiv | Statement: [Tor Tiv, ethnolinguisticGroup, Tiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiv
Context triple: [Tor Tiv, ethnolinguisticGroup, Tiv]
  • A. Tiv chosen
    The Tiv are an ethnic group primarily found in central Nigeria, known for their rich agricultural traditions, distinctive language, and vibrant cultural festivals.
  • B. Tivim
    Tivim is a village in North Goa, India, known primarily for its railway station on the Konkan Railway that serves as a key transit point for the region.
  • C. Tikkana
    Tikkana was a prominent 13th-century Telugu poet and scholar best known for translating a major portion of the Mahabharata into Telugu and helping shape classical Telugu literature.
  • D. Tuvok
    Tuvok is a Vulcan Starfleet officer and tactical/security chief aboard the USS Voyager in the television series Star Trek: Voyager.
  • E. Tiu
    Tiu is a variant transliteration of the Chinese surname commonly rendered in English as Zhao.
  • 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_69d81c6081b88190b53e317c3370c8fe completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de2cf5cc8c8190bea74291702b2925 completed April 14, 2026, 12:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69fba1c81e988190a5fd8e2d83e065fe completed May 6, 2026, 8:17 p.m.
Created at: April 9, 2026, 10:17 p.m.