Triple

T1765946
Position Surface form Disambiguated ID Type / Status
Subject Blaustein E38762 entity
Predicate hasRiver P165 FINISHED
Object Blau E199596 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: Blau | Statement: [Blaustein, hasRiver, Blau]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Blau
Context triple: [Blaustein, hasRiver, Blau]
  • A. Blau chosen
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • B. the Blue
    The Blue is the traditional nickname and spirit symbol representing Phillips Academy Andover’s athletic teams and school community.
  • C. Maroon
    Maroon refers to the descendants of escaped African slaves in the Americas who formed independent communities, notably in places like Suriname and Jamaica, preserving distinct African-derived cultures and traditions.
  • D. The Blue and White
    The Blue and White is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise known for its blue-and-white team colors.
  • E. Violet
    Violet is a small, typically purple-flowered plant commonly found in temperate regions and widely recognized as a symbol of modesty and springtime.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69aa6467c3f08190abc8a06269ede908 completed March 6, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69adb5c727e48190b934e9b97b084c7a completed March 8, 2026, 5:45 p.m.
Created at: March 4, 2026, 7:31 p.m.