Triple

T15606099
Position Surface form Disambiguated ID Type / Status
Subject Jean d’Aire E375163 entity
Predicate portrayedInWorkLocation P88991 FINISHED
Object Calais, France E30799 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: Calais, France | Statement: [Jean d’Aire, portrayedInWorkLocation, Calais, France]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Calais, France
Context triple: [Jean d’Aire, portrayedInWorkLocation, Calais, France]
  • A. Calais chosen
    Calais is a major French port city on the northern coast, serving as one of the primary crossing points between France and England.
  • B. Calais
    Calais is a figure from Greek mythology, one of the winged sons of Boreas who joined Jason and the Argonauts on their legendary voyage.
  • C. de Boulogne
    de Boulogne is the surname of the French Baroque painter Valentin de Boulogne, known for his dramatic Caravaggesque style.
  • D. Douai, France
    Douai, France is a historic town in northern France known for its medieval belfry, legal and university traditions, and role as a regional administrative center.
  • E. Boulogne
    Boulogne is a French football club known for being one of the early professional teams in N’Golo Kanté’s career.
  • 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: portrayedInWorkLocation
Context triple: [Jean d’Aire, portrayedInWorkLocation, Calais, France]
  • A. depictsWorkLocation
    Indicates that one entity visually represents the place where another entity performs its work or professional activities.
  • B. locationInWork chosen
    Indicates that one entity specifies the place or setting where another entity occurs, is situated, or takes place within a particular work (e.g., a scene’s location in a film or a chapter’s setting in a book).
  • C. portraysInWork
    Indicates that one entity depicts, represents, or plays the role of another entity within a specific creative work.
  • D. portrayedInWork
    Indicates that an entity is depicted or represented as a character, figure, or subject within a specific creative work.
  • E. locationOfWork
    Indicates the place or site where an entity performs its work or carries out its professional activities.
  • 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_69d85ccf2794819096cda4cbcb02d478 completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e04e7d9328819090e93d55881269a5 completed April 16, 2026, 2:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f37383c81909d0efce84508a034 completed May 9, 2026, 4:22 p.m.
PD Predicate disambiguation batch_69deda844af081909e658ebc9d9b403d completed April 15, 2026, 12:23 a.m.
Created at: April 10, 2026, 4:12 a.m.