Triple

T17129347
Position Surface form Disambiguated ID Type / Status
Subject Place Gutenberg E415679 entity
Predicate partOf P40 FINISHED
Object Grande-Île de Strasbourg E393432 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: Grande-Île de Strasbourg | Statement: [Place Gutenberg, partOf, Grande-Île de Strasbourg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Grande-Île de Strasbourg
Context triple: [Place Gutenberg, partOf, Grande-Île de Strasbourg]
  • A. Grande Île de Strasbourg chosen
    Grande Île de Strasbourg is the historic city center of Strasbourg, France, recognized as a UNESCO World Heritage Site for its well-preserved medieval architecture and urban ensemble.
  • B. Lisbourg
    Lisbourg is a commune in northern France known for its rural landscape and as the birthplace of the Lys River.
  • C. Retz
    Retz is a historic wine-growing town in Lower Austria, near the Czech border, known for its extensive wine cellars and well-preserved medieval center.
  • D. Kaysersberg
    Kaysersberg is a picturesque medieval town in France’s Alsace region, renowned for its half-timbered houses, hillside vineyards, and well-preserved historic charm.
  • E. Port of Strasbourg
    The Port of Strasbourg is a major inland port in eastern France that serves as a key commercial and logistics hub on the Rhine, linking European river, rail, and road transport networks.
  • 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_69d886d15af4819092f92f8a129763e6 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f0291ee881908fb10a8ccd7faa41 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01414a51d4819086c2346fe2d4fce4 completed May 11, 2026, 2:39 a.m.
Created at: April 10, 2026, 5:36 a.m.