Triple

T896759
Position Surface form Disambiguated ID Type / Status
Subject Ulysses E19362 entity
Predicate firstCompleteEditionPlace P20839 FINISHED
Object Paris E568 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: Paris | Statement: [Ulysses, firstCompleteEditionPlace, Paris]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paris
Context triple: [Ulysses, firstCompleteEditionPlace, Paris]
  • A. Paris chosen
    Paris is the capital and largest city of France, renowned for its historic architecture, art, fashion, and cultural influence worldwide.
  • B. Lyon
    Lyon is a major city in east-central France known for its historical and architectural landmarks, gastronomy, and role as a key economic and cultural center.
  • C. Rouen
    Rouen is a historic city in northern France renowned for its medieval architecture, Gothic cathedral, and association with figures like Joan of Arc and the Impressionist painter Claude Monet.
  • D. Toulouse
    Toulouse is a major city in southwestern France known for its aerospace industry, historic pink-brick architecture, and vibrant university and cultural life.
  • E. Strasbourg
    Strasbourg is a major French city on the Rhine known for hosting key European institutions, including the European Parliament and the Council of Europe.
  • 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: firstCompleteEditionPlace
Context triple: [Ulysses, firstCompleteEditionPlace, Paris]
  • A. firstPrintedInPlace
    Indicates the place where an item (such as a work or edition) was first printed.
  • B. placeOfFirstPublication
    Indicates the location where a work was first published or made publicly available.
  • C. firstEditionHeldIn
    Indicates the location where the first edition or initial occurrence of an event was held.
  • D. firstPublisher
    Indicates that an entity is the original or earliest publisher of another entity (such as a work, edition, or resource).
  • E. firstEditionPublicationYear
    Indicates the year in which an entity’s first edition was originally published.
  • F. None of above. chosen

Provenance (5 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_69a4939d37188190848be3d426ebc9ae completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4ad2550c88190a624eb5627d472ad completed March 1, 2026, 9:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf498af4819085d494f85adf0825 completed March 4, 2026, 6:20 a.m.
PD Predicate disambiguation batch_69a4aa94f7c881908deeb62308942e19 completed March 1, 2026, 9:07 p.m.
PDg Predicate description generation batch_69a4ab4a38ec8190915916d80299ab55 completed March 1, 2026, 9:10 p.m.
Created at: March 1, 2026, 7:39 p.m.