Triple

T30834786
Position Surface form Disambiguated ID Type / Status
Subject Transformation of Tour Bois-le-Prêtre, Paris E785329 entity
Predicate postRenovationCharacteristic P24756 FINISHED
Object increased dwelling sizes 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: increased dwelling sizes | Statement: [Transformation of Tour Bois-le-Prêtre, Paris, postRenovationCharacteristic, increased dwelling sizes]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: postRenovationCharacteristic
Context triple: [Transformation of Tour Bois-le-Prêtre, Paris, postRenovationCharacteristic, increased dwelling sizes]
  • A. renovationFeature
    Indicates that an entity has a specific renovation-related characteristic, element, or improvement associated with it.
  • B. useAfterRenovation
    Indicates that something is intended to be used or occupied only after renovation work has been completed.
  • C. hasRenovation
    Indicates that an entity has undergone, is undergoing, or is associated with a renovation process or renovation event.
  • D. renovationOccasion
    Indicates the event, reason, or context that serves as the occasion for a renovation to take place.
  • E. renovationResult chosen
    Indicates the outcome or state produced by a renovation process, linking the renovation activity to its resulting condition or product.
  • F. None of above.

Provenance (3 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_69f224b73d8c81908129383bfb397c87 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6913cecbc8190a26e1b3233c0d842 completed May 3, 2026, 12:05 a.m.
PD Predicate disambiguation batch_69f68b7d2794819092fef8a63f4f3de8 completed May 2, 2026, 11:40 p.m.
Created at: April 29, 2026, 8:45 p.m.