Triple

T14717157
Position Surface form Disambiguated ID Type / Status
Subject Eggon E345710 entity
Predicate localGovernmentAreaInhabited P74637 FINISHED
Object Lafia E368488 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: Lafia | Statement: [Eggon, localGovernmentAreaInhabited, Lafia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lafia
Context triple: [Eggon, localGovernmentAreaInhabited, Lafia]
  • A. Lafia chosen
    Lafia is a major city in central Nigeria that serves as the administrative and economic hub of Nasarawa State.
  • B. Faya
    Faya is a town in northern Chad that serves as an important oasis and regional administrative center in the Sahara Desert.
  • C. Lafiya
    Lafiya is a town associated with the Bachama people in Nigeria, serving as one of their local settlements.
  • D. Flisa
    Flisa is a small town in Innlandet county, Norway, known as a local commercial and administrative center in the Glåmdalen region.
  • E. Laabi
    Laabi is a small village located in Harku Parish in northern Estonia.
  • 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_69d822e5911c8190ba589f957dbd9ba7 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb98688f48190b2b19ce7aa06a6db completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf0935f088190b54f2e106532972a completed May 8, 2026, 2:17 p.m.
Created at: April 10, 2026, 1:29 a.m.