Triple

T14793196
Position Surface form Disambiguated ID Type / Status
Subject Object-Oriented Software Construction E347706 entity
Predicate secondEditionLanguage P116129 FINISHED
Object Eiffel E96205 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: Eiffel | Statement: [Object-Oriented Software Construction, secondEditionLanguage, Eiffel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eiffel
Context triple: [Object-Oriented Software Construction, secondEditionLanguage, Eiffel]
  • A. Eiffel
    Eiffel is a French surname most famously associated with engineer Gustave Eiffel, designer of the Eiffel Tower in Paris.
  • B. Eiffel chosen
    Eiffel is an object-oriented programming language designed by Bertrand Meyer, known for its emphasis on software correctness through the Design by Contract methodology.
  • C. Eiffel Tower
    The Eiffel Tower is a wrought-iron lattice tower in Paris, France, and one of the most recognizable landmarks and symbols of the country.
  • D. Iron Tower
    The Iron Tower is a historic medieval watchtower and former city gate located in Mainz, Germany.
  • E. Trocadéro
    Trocadéro is a prominent area in Paris known for its grand esplanade and panoramic views of the Eiffel Tower, historically associated with major exhibitions and cultural events.
  • 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: secondEditionLanguage
Context triple: [Object-Oriented Software Construction, secondEditionLanguage, Eiffel]
  • A. secondEditionISBN
    Indicates that the object is the ISBN assigned specifically to the second edition of the subject work.
  • B. secondEditionFocus
    Indicates that the relationship or content specifically pertains to the second edition version or focus of something, as opposed to other editions.
  • C. secondEditionPublisher
    Indicates the publisher responsible for issuing the second edition of a work.
  • D. secondBook
    Indicates that one entity is the second book in an ordered sequence or collection relative to another entity.
  • E. primaryLanguageSide2
    Indicates that the second entity in the relationship uses or is associated with the primary language specified.
  • 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_69d822ea8b7c819097dfadf3d45545e6 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69decd5ec43c8190ad7a10a556519bb0 completed April 14, 2026, 11:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe388fc0e08190a758a1e0a4140909 completed May 8, 2026, 7:25 p.m.
PD Predicate disambiguation batch_69de8c090d1081909b5a9bf437499d6c completed April 14, 2026, 6:48 p.m.
PDg Predicate description generation batch_69de90c5e3a08190868680b081308c1d completed April 14, 2026, 7:08 p.m.
Created at: April 10, 2026, 1:31 a.m.