Triple

T14347789
Position Surface form Disambiguated ID Type / Status
Subject Neudorf E355771 entity
Predicate partOf P40 FINISHED
Object Strasbourg city E12607 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: Strasbourg city | Statement: [Neudorf, partOf, Strasbourg city]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strasbourg city
Context triple: [Neudorf, partOf, Strasbourg city]
  • A. Strasbourg chosen
    Strasbourg is a major French city on the Rhine known for hosting key European institutions, including the European Parliament and the Council of Europe.
  • B. Eurométropole de Strasbourg
    Eurométropole de Strasbourg is the intercommunal metropolitan authority centered on the city of Strasbourg in northeastern France, coordinating urban planning, transport, and public services across the surrounding municipalities.
  • C. Strasbourg old town
    Strasbourg old town is the historic center of Strasbourg, France, known for its medieval half-timbered houses, canals, and the UNESCO-listed Grande Île.
  • D. Mulhouse
    Mulhouse is an industrial city in northeastern France near the Swiss and German borders, known for its textile heritage and major technical museums.
  • E. Neustadt of Strasbourg
    Neustadt of Strasbourg is a historic late 19th- and early 20th-century urban district in Strasbourg, France, renowned for its monumental German imperial architecture and recognized as a UNESCO World Heritage Site.
  • 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_69d82790a7e08190877e2d349b2e8d8e completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8e8d081c8190ac805726a3e98f4c completed April 14, 2026, 6:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd550aef908190a7ec49e409f92dc7 completed May 8, 2026, 3:14 a.m.
Created at: April 10, 2026, 1:14 a.m.