Triple

T619147
Position Surface form Disambiguated ID Type / Status
Subject Oesterdam E14471 entity
Predicate separates P1175 FINISHED
Object Zoommeer E77580 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: Zoommeer | Statement: [Oesterdam, separates, Zoommeer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoommeer
Context triple: [Oesterdam, separates, Zoommeer]
  • A. Zoommeer chosen
    Zoommeer is a Dutch lake in the province of Zeeland, created as part of the Delta Works water management project.
  • B. Zooropa
    Zooropa is a 1993 experimental rock album by Irish band U2 that blends alternative rock with electronic and ambient influences.
  • C. Blooper
    Blooper is the fuzzy, energetic costumed mascot of Major League Baseball’s Atlanta Braves, known for entertaining fans with comedic antics at games.
  • D. Mvezo
    Mvezo is a small rural village in South Africa’s Eastern Cape best known as the birthplace of Nelson Mandela.
  • E. El gran zoo
    El gran zoo is a celebrated poetry collection by Cuban writer Nicolás Guillén that uses the metaphor of a fantastical zoo to deliver sharp social and political satire.
  • 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_69a4934b17c881909ace8270e8ddd202 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49e25956c8190a1eed87002548658 completed March 1, 2026, 8:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563c682f88190a2af1087246be4c4 completed March 2, 2026, 10:17 a.m.
Created at: March 1, 2026, 7:35 p.m.