Triple

T22174798
Position Surface form Disambiguated ID Type / Status
Subject Estevão E548018 entity
Predicate hasDiminutiveForm P456 FINISHED
Object E770687 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: Té | Statement: [Estevão, hasDiminutiveForm, Té]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Té
Context triple: [Estevão, hasDiminutiveForm, Té]
  • A. Tea chosen
    Tea is a widely consumed beverage made by steeping processed leaves of the Camellia sinensis plant in hot water, known for its variety of flavors, caffeine content, and cultural significance worldwide.
  • B. Chai
    Chai is the guitar-wielding, rhythm-obsessed main hero of the action-rhythm game Hi-Fi Rush, known for battling enemies in sync with the music.
  • C. Chai
    Chai is a popular JavaScript assertion library commonly used in testing frameworks like Mocha to provide expressive, readable test assertions.
  • D. Tehatta
    Tehatta is a town in the Nadia district of the Indian state of West Bengal, known as a local administrative and commercial center for the surrounding rural region.
  • E. TEA
    TEA is the state government agency responsible for overseeing public primary and secondary education in Texas.
  • 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_69e11e3d53f88190a2b690e3f25bb062 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12a6b755c81909e9bd2a588c065b3 completed April 28, 2026, 9:45 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9ec69cbc8190ac4dfde4443b5632 completed May 18, 2026, 5:08 a.m.
Created at: April 16, 2026, 8:34 p.m.