Triple

T3980644
Position Surface form Disambiguated ID Type / Status
Subject Nike E85747 entity
Predicate sibling P363 FINISHED
Object Bia E105139 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: Bia | Statement: [Nike, sibling, Bia]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bia
Context triple: [Nike, sibling, Bia]
  • A. Bia chosen
    Bia is the Greek personification of force and raw power, often depicted as a minor deity serving Zeus in ancient mythology.
  • B. Bori
    Bori is a prominent urban center in Nigeria’s Rivers State, serving as an important commercial and administrative hub for the surrounding region.
  • C. Biainili
    Biainili is the native name for the ancient kingdom of Urartu, an Iron Age state centered around Lake Van in the Armenian Highlands.
  • D. Bisha
    Bisha is a major inland city in southwestern Saudi Arabia known for its agricultural production and strategic location within the Asir region.
  • E. Biu
    Biu is a town in northeastern Nigeria that serves as a local commercial and administrative center in Borno State.
  • 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_69aed93908348190a26c8aaf4fab3e86 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aef9d9d8848190aa06eaf5d281fa16 completed March 9, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69b54021ae388190a9518ea85b760736 completed March 14, 2026, 11:01 a.m.
Created at: March 9, 2026, 3:33 p.m.