Triple

T6741053
Position Surface form Disambiguated ID Type / Status
Subject Loko E154081 entity
Predicate name P16 FINISHED
Object Loko E302234 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: Loko | Statement: [Loko, name, Loko]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Loko
Context triple: [Loko, name, Loko]
  • A. Loko chosen
    Loko is a Mande language spoken primarily in parts of Sierra Leone by the Loko ethnic group.
  • B. Loko
    Loko is the popular nickname of Lokomotiv Yaroslavl, a professional ice hockey team based in Yaroslavl, Russia.
  • C. Lokoja
    Lokoja is a city in central Nigeria located at the strategic confluence of the Niger and Benue rivers and serves as the capital of Kogi State.
  • D. Lapa
    Lapa is a historic and bohemian neighborhood in Rio de Janeiro, Brazil, famous for its vibrant nightlife, samba clubs, and iconic aqueduct arches.
  • E. Laiolo
    Laiolo is an alternate name for the Laiyolo language, an Austronesian language spoken in parts of Indonesia.
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d18971e081908372cd25d52a11bd completed March 27, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69c70b0fb79c8190ae9871b7b2d9d733 completed March 27, 2026, 10:56 p.m.
Created at: March 27, 2026, 2:10 p.m.