Triple

T18657655
Position Surface form Disambiguated ID Type / Status
Subject Tulco E456108 entity
Predicate operatesUnderName P69117 FINISHED
Object Tulco NE NERFINISHED

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: Tulco | Statement: [Tulco, operatesUnderName, Tulco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tulco
Context triple: [Tulco, operatesUnderName, Tulco]
  • A. Tulco chosen
    Tulco is a business entity, formally known as Tulco LLC, that operates under the shorter trade name Tulco.
  • B. Cerritos
    Cerritos is a suburban city in southeastern Los Angeles County, California, known for its planned residential communities, strong public schools, and major retail centers like the Los Cerritos Center.
  • C. Yoncalla
    Yoncalla is a Native American language historically spoken by a subgroup of the Kalapuya people in what is now western Oregon.
  • D. San Félix
    San Félix is a major urban district of Ciudad Guayana in Bolívar State, Venezuela, known for its role in the region’s industrial and commercial activity.
  • E. Tuscadero
    Tuscadero is an American indie rock band known for its catchy, fuzz-pop sound and association with the 1990s D.C. underground music scene.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8d38ea1e88190997e9b231190ba6f completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e550864b0481909e59fbcc79fda839 completed April 19, 2026, 10 p.m.
Created at: April 10, 2026, 11:48 a.m.