Triple

T14953661
Position Surface form Disambiguated ID Type / Status
Subject Montgeron E372862 entity
Predicate hasTwinTown P919 FINISHED
Object Bingen am Rhein E351906 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: Bingen am Rhein | Statement: [Montgeron, hasTwinTown, Bingen am Rhein]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bingen am Rhein
Context triple: [Montgeron, hasTwinTown, Bingen am Rhein]
  • A. Bingen am Rhein chosen
    Bingen am Rhein is a historic town in Germany’s Rhineland-Palatinate, known as a gateway to the scenic Upper Middle Rhine Valley with its castles, vineyards, and river landscapes.
  • B. Rüdesheim am Rhein
    Rüdesheim am Rhein is a historic wine-making town on the Rhine River in Germany, renowned for its picturesque old town, vineyards, and role as a gateway to the Upper Middle Rhine Valley.
  • C. Boppard
    Boppard is a historic town on the Rhine River in Germany, renowned for its well-preserved medieval architecture, wine culture, and scenic river landscapes.
  • D. Emmerich am Rhein
    Emmerich am Rhein is a German town on the Rhine River near the Dutch border, known for its historic center and prominent Rhine bridge.
  • E. Monheim am Rhein
    Monheim am Rhein is a town in North Rhine-Westphalia, Germany, situated along the Rhine River and known for its strong local economy and family-friendly urban development.
  • 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_69d85cca979481908747d2a81eba1cea completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69ded6cb336c8190b8a55106fa8fc500 completed April 15, 2026, 12:07 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff4c2d21348190a8045cf1847396e0 completed May 9, 2026, 3:01 p.m.
Created at: April 10, 2026, 2:40 a.m.