Triple

T2942583
Position Surface form Disambiguated ID Type / Status
Subject La Part-Dieu E79421 entity
Predicate formerLandUse P44099 FINISHED
Object military barracks 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: military barracks | Statement: [La Part-Dieu, formerLandUse, military barracks]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: formerLandUse
Context triple: [La Part-Dieu, formerLandUse, military barracks]
  • A. primaryLandUse
    Indicates the main or dominant way in which a given piece of land is utilized or designated (e.g., residential, agricultural, commercial).
  • B. majorLandUse
    Indicates the primary way a given area of land is utilized or designated (e.g., residential, commercial, agricultural).
  • C. otherLandUse
    Indicates that the land is used for purposes that do not fall into any of the primary or predefined land-use categories.
  • D. secondaryLandUse
    Indicates a secondary or additional way in which a piece of land is used, beyond its primary designated use.
  • E. formerHabitat
    Indicates that a location once served as a habitat for an entity but no longer does.
  • 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_69ad8b1089588190b74d9e2505e45762 completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9871fc908190ad90e5b01b476b3f completed March 8, 2026, 3:40 p.m.
PD Predicate disambiguation batch_69ad96088fb481909976b436c2b729d9 completed March 8, 2026, 3:30 p.m.
PDg Predicate description generation batch_69ad97f520208190a4dc43372004555f completed March 8, 2026, 3:38 p.m.
Created at: March 8, 2026, 2:56 p.m.