Triple

T12986606
Position Surface form Disambiguated ID Type / Status
Subject Teoh E321783 entity
Predicate hasVariantSpelling P457 FINISHED
Object Tiu E383155 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: Tiu | Statement: [Teoh, hasVariantSpelling, Tiu]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tiu
Context triple: [Teoh, hasVariantSpelling, Tiu]
  • A. Tiu chosen
    Tiu is a variant transliteration of the Chinese surname commonly rendered in English as Zhao.
  • B. Tialo
    Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
  • C. Tyto
    Tyto is a genus of medium-sized owls best known for including the widespread barn owl and its close relatives.
  • D. Tzia
    Tzia is an alternative name for Kea, a Greek island in the Cyclades known for its traditional villages, beaches, and proximity to Athens.
  • E. Teià
    Teià is a small coastal municipality in Catalonia, Spain, situated in the Maresme comarca near Barcelona.
  • 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_69d8076479b8819090afce3591939cdf completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97e5f47ec8190b39107bc016f9824 completed April 10, 2026, 10:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6b8f6245c8190867417c3ef1852e5 completed May 3, 2026, 2:54 a.m.
Created at: April 9, 2026, 8:40 p.m.