Triple

T10001276
Position Surface form Disambiguated ID Type / Status
Subject Puteaux E197331 entity
Predicate hasTwinTown P919 FINISHED
Object Offenbach am Main E214922 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: Offenbach am Main | Statement: [Puteaux, hasTwinTown, Offenbach am Main]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Offenbach am Main
Context triple: [Puteaux, hasTwinTown, Offenbach am Main]
  • A. Offenbach am Main chosen
    Offenbach am Main is a city in central Germany located on the River Main, adjacent to Frankfurt, known historically for its leather industry and as a regional economic and cultural center.
  • B. Offenbach
    Offenbach was a 19th-century German-French composer best known for his pioneering operettas, including "Orpheus in the Underworld" and "La Belle Hélène."
  • C. Wiesbaden
    Wiesbaden is a historic spa city in western Germany known for its thermal springs, elegant architecture, and role as a regional administrative and cultural center.
  • D. Bensheim
    Bensheim is a historic town in southern Hesse, Germany, known for its wine-growing tradition and picturesque location on the Bergstraße at the edge of the Odenwald.
  • E. Wetzlar
    Wetzlar is a historic German city in the state of Hesse, known for its medieval old town and its long tradition in optics and precision engineering.
  • 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_69ca82f3b61c81908ecc2c1c96dbc2e4 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cdcc8f50888190b2f1c5240cb58e4f completed April 2, 2026, 1:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69e482d55a04819090d95f7a4abb6e29 completed April 19, 2026, 7:23 a.m.
Created at: March 30, 2026, 8:51 p.m.