Triple

T5332609
Position Surface form Disambiguated ID Type / Status
Subject Prora complex E123344 entity
Predicate locatedIn P40 FINISHED
Object Prora, Binz E123340 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: Prora, Binz | Statement: [Prora complex, locatedIn, Prora, Binz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prora, Binz
Context triple: [Prora complex, locatedIn, Prora, Binz]
  • A. Binz chosen
    Binz is a popular seaside resort town on the German island of Rügen, known for its sandy beaches and historic resort architecture.
  • B. Sanz
    Sanz is a prominent Hasidic dynasty known for its strong emphasis on Torah scholarship, strict halachic observance, and influential rabbinic leadership originating in 19th-century Galicia.
  • C. Kwan
    Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
  • D. Yuja
    Yuja is a renowned Chinese classical pianist celebrated for her virtuosic technique and charismatic stage presence.
  • E. Kini
    Kini is a small coastal village and popular beach resort on the Greek island of Syros in the Cyclades.
  • 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_69bd46477f9081909d242a327d749466 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd85ac8e10819088b6a9e02d927044 completed March 20, 2026, 5:36 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18b75c388190955e4e31d71ffedb completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 2 p.m.