Triple

T3887858
Position Surface form Disambiguated ID Type / Status
Subject Place Kléber E87986 entity
Predicate isLargestSquareIn P15345 FINISHED
Object Strasbourg city centre E12607 NE FINISHED

How this triple was built (3 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 centre | Statement: [Place Kléber, isLargestSquareIn, Strasbourg city centre]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Strasbourg city centre
Context triple: [Place Kléber, isLargestSquareIn, Strasbourg city centre]
  • A. 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.
  • B. 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.
  • C. 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.
  • D. 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.
  • E. Strasbourg – Saint-Denis
    Strasbourg – Saint-Denis is a major Paris Métro station and busy transport hub in central Paris, serving multiple lines near the historic Porte Saint-Denis.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: isLargestSquareIn
Context triple: [Place Kléber, isLargestSquareIn, Strasbourg city centre]
  • A. isLargestOf
    Indicates that one entity has the greatest size, extent, or magnitude among a specified set of entities.
  • B. hasLargestAreaOf
    Indicates that the subject entity possesses the greatest area (size of surface or region) compared to the other entities in the specified set or context.
  • C. hasNumberOfSquares
    Indicates that an entity is associated with a specific count of squares it contains or comprises.
  • D. mainSquare chosen
    Indicates that a location serves as the primary or central public square of a town or city.
  • E. isLargestParkOf
    Indicates that a park is the largest park within a specified area, region, or administrative entity.
  • F. None of above.

Provenance (4 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_69aed9466d548190939f5217a23ed4ac completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeecabe3548190a5cbf9d0af0bcfb6 completed March 9, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69b52848b5688190aa49774dcd037097 completed March 14, 2026, 9:20 a.m.
PD Predicate disambiguation batch_69aee759609c8190985e96ec6d96dedd completed March 9, 2026, 3:29 p.m.
Created at: March 9, 2026, 3:21 p.m.