Triple

T21879453
Position Surface form Disambiguated ID Type / Status
Subject SNJ E540239 entity
Predicate natoReportingName P6062 FINISHED
Object Texan 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: Texan | Statement: [SNJ, natoReportingName, Texan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Texan
Context triple: [SNJ, natoReportingName, Texan]
  • A. Texana
    Texana is a category of historical materials, artifacts, and literature specifically related to the history, culture, and people of Texas.
  • B. Texans chosen
    Texans are residents of the U.S. state of Texas, known for their distinct regional culture, history of independence, and strong association with ranching, oil, and frontier heritage.
  • C. Como, Texas
    Como, Texas is a small rural town located in Hopkins County in northeastern Texas, known for its close-knit community and agricultural surroundings.
  • D. Texa
    Texa is a small, uninhabited Scottish island in the Inner Hebrides, located off the south coast of Islay.
  • E. southwest Texas
    Southwest Texas is a sparsely populated, predominantly rural region of Texas known for its desert landscapes, ranching, and proximity to the U.S.–Mexico border.
  • 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_69e0c479a98081908ce333853fdd4348 completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f118e42c108190b6308016655c429e completed April 28, 2026, 8:30 p.m.
Created at: April 16, 2026, 7:04 p.m.