Triple

T907189
Position Surface form Disambiguated ID Type / Status
Subject Alsace E19573 entity
Predicate hasUNESCOSite P2499 FINISHED
Object Strasbourg Grande Île 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 Grande Île | Statement: [Alsace, hasUNESCOSite, Strasbourg Grande Île]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strasbourg Grande Île
Context triple: [Alsace, hasUNESCOSite, Strasbourg Grande Île]
  • 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. European Quarter of Strasbourg
    The European Quarter of Strasbourg is a district in Strasbourg, France that hosts major European institutions and serves as a key center of European governance and diplomacy.
  • C. Île de la Cité
    Île de la Cité is a historic island in the Seine at the heart of Paris, regarded as the city's medieval and spiritual center.
  • 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. Reims
    Reims is a historic city in northeastern France known for its Gothic cathedral, role in French coronations, and significance during both World Wars.
  • 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_69a4939e889c8190ac148b3ac1a7f90b completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b2cc85a08190bc8186eb9ed1fa38 completed March 1, 2026, 9:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69acbf0949c481908868bd27eeb964b4 completed March 8, 2026, 12:12 a.m.
Created at: March 1, 2026, 7:39 p.m.