Triple

T35184106
Position Surface form Disambiguated ID Type / Status
Subject Berjallien E1015935 entity
Predicate demographicRelation P182588 FINISHED
Object population of Bourgoin-Jallieu LITERAL 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: population of Bourgoin-Jallieu | Statement: [Berjallien, demographicRelation, population of Bourgoin-Jallieu]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: demographicRelation
Context triple: [Berjallien, demographicRelation, population of Bourgoin-Jallieu]
  • A. ageRelation
    Indicates a relationship that specifies or compares the ages of entities, such as one being older, younger, or of the same age as another.
  • B. politicalRelationship
    Indicates a relationship in which entities are connected through political roles, alliances, affiliations, or interactions within a political context.
  • C. historicalRelationship
    Indicates a relationship that existed between entities in the past, often tied to a specific historical period, context, or event.
  • D. citizenshipRelation
    Indicates a formal legal relationship in which one entity holds citizenship status in, or is a citizen of, another entity such as a state or country.
  • E. maritalRelations
    Indicates a legally or socially recognized spousal relationship or marriage-based connection between two entities.
  • F. None of above. chosen

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_69f76ddd815c8190b822eea06630f9fb completed May 3, 2026, 3:46 p.m.
NER Named-entity recognition batch_69f7904a770481908ef3f788e51e8dba completed May 3, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69f78e2d71248190b850c2802ec170c0 completed May 3, 2026, 6:04 p.m.
PDg Predicate description generation batch_69f78f629d508190b755848162c4e101 completed May 3, 2026, 6:09 p.m.
Created at: May 3, 2026, 4:02 p.m.