Triple

T13181293
Position Surface form Disambiguated ID Type / Status
Subject Tutelo people E313732 entity
Predicate alsoKnownAs P39 FINISHED
Object Tutelo E947502 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: Tutelo | Statement: [Tutelo people, alsoKnownAs, Tutelo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tutelo
Context triple: [Tutelo people, alsoKnownAs, Tutelo]
  • A. Tutelo chosen
    Tutelo is a nearly extinct Siouan language historically spoken by the Tutelo people of the eastern United States, particularly in present-day Virginia and West Virginia.
  • B. Tutin
    Tutin is a small town and municipality in southwestern Serbia’s Sandžak region, known for its predominantly Bosniak population and mountainous surroundings.
  • C. Tutuala
    Tutuala is a coastal village and suco at the eastern tip of Timor-Leste, known as the gateway to the nearby Jaco Island and the surrounding protected natural areas.
  • D. Tigana
    Tigana is a French former professional footballer and manager, best known as a dynamic midfielder for clubs like Bordeaux and the French national team during the 1980s.
  • E. Tuhatkunta
    Tuhatkunta is the student organization affiliated with Finland’s centre-right National Coalition Party, representing and promoting the party’s interests among students.
  • 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_69d806ae1e08819090d95bfe1538cc17 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98c490ed081908ea54edb25c3de90 completed April 10, 2026, 11:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6f5ee66188190afb75a598a2f8211 completed May 3, 2026, 7:14 a.m.
Created at: April 9, 2026, 9:14 p.m.