Triple

T13937663
Position Surface form Disambiguated ID Type / Status
Subject Gboko E335160 entity
Predicate isTraditionalSeatOf P88070 FINISHED
Object Tor Tiv E335159 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: Tor Tiv | Statement: [Gboko, isTraditionalSeatOf, Tor Tiv]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tor Tiv
Context triple: [Gboko, isTraditionalSeatOf, Tor Tiv]
  • A. Tor Tiv chosen
    Tor Tiv is the paramount traditional ruler and cultural leader of the Tiv people of central Nigeria.
  • B. Tor putitora
    Tor putitora, commonly known as the golden mahseer, is a large, migratory freshwater fish native to South and Southeast Asian rivers and valued both as a game fish and a threatened species of conservation concern.
  • C. Tuvok
    Tuvok is a Vulcan Starfleet officer and tactical/security chief aboard the USS Voyager in the television series Star Trek: Voyager.
  • D. Tor
    Tor is a masculine given name of Norse origin, commonly used in Scandinavian countries and derived from the name of the Norse thunder god Thor.
  • E. Tetro
    Tetro is a 2009 drama film directed by Francis Ford Coppola, in which Maribel Verdú plays a key supporting role in a story about fractured family relationships and artistic rivalry in Buenos Aires.
  • 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.