Triple

T19086334
Position Surface form Disambiguated ID Type / Status
Subject Inn Valley E467157 entity
Predicate majorCity P316 FINISHED
Object Schwaz 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: Schwaz | Statement: [Inn Valley, majorCity, Schwaz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwaz
Context triple: [Inn Valley, majorCity, Schwaz]
  • A. Schwaz chosen
    Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
  • B. Schwarza
    Schwarza is a river in the Black Forest region of Baden-Württemberg, Germany, that serves as one of the headwaters of the Wutach.
  • C. Schwarz
    Schwarz is a theoretical physicist best known as one of the pioneers of string theory and for his work on anomaly cancellation.
  • D. Schwarz
    Schwarz is a common German surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • E. Swart
    Swart is a surname of Afrikaans and Dutch origin, notably borne by Charles Robberts Swart, the first State President of South Africa.
  • 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_69d8dd05ac4c8190b1967d8f97f3fb2f completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e347ee288190a3e935ff89ca94aa completed April 20, 2026, 8:26 a.m.
Created at: April 10, 2026, 12:04 p.m.