Triple

T15472092
Position Surface form Disambiguated ID Type / Status
Subject Beaugrenelle towers E376685 entity
Predicate hasPart P35 FINISHED
Object Tour Keller E752240 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: Tour Keller | Statement: [Beaugrenelle towers, hasPart, Tour Keller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tour Keller
Context triple: [Beaugrenelle towers, hasPart, Tour Keller]
  • A. Tour Keller chosen
    Tour Keller is a residential high-rise tower in Paris that forms part of the modern Front de Seine development along the Left Bank of the Seine.
  • B. Kim Schmitz
    Kim Schmitz was an American mountaineer and pioneering big-wall climber known for significant first ascents in the Himalaya and Karakoram.
  • C. Kay Sievers
    Kay Sievers is a German software engineer best known for his leading role in developing the systemd init system and related Linux userspace components.
  • D. Pameron Tucker
    Pameron Tucker is a minor character on the TV sitcom "Modern Family," known as Cameron Tucker’s sister from his rural Missouri family.
  • E. Michael Amherdt
    Michael Amherdt is a mountaineer known for making the first recorded ascent of the Swiss Alpine peak Fletschhorn.
  • 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_69d85cd21dcc81908646251b1c26ea00 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03f6c57308190b4cfe661c26addd4 completed April 16, 2026, 1:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff2d0543f881909dfbbc77f2a96a1a completed May 9, 2026, 12:48 p.m.
Created at: April 10, 2026, 3:33 a.m.