Triple

T22252888
Position Surface form Disambiguated ID Type / Status
Subject Sa'ir E550022 entity
Predicate hasBuiltUpArea P104599 FINISHED
Object residential neighborhoods 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: residential neighborhoods | Statement: [Sa'ir, hasBuiltUpArea, residential neighborhoods]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasBuiltUpArea
Context triple: [Sa'ir, hasBuiltUpArea, residential neighborhoods]
  • A. developedArea chosen
    Indicates that a geographic region or land parcel has been built upon or otherwise modified for human use, such as through construction or infrastructure development.
  • B. hasResidentialArea
    Indicates that an entity includes, contains, or is associated with an area designated for people to live or reside.
  • C. hasCadastralArea
    Indicates that an entity possesses or is associated with a specific cadastral (official land registry) area measurement.
  • D. isPrimarilyBuiltOut
    Indicates that one entity is mainly constructed, developed, or formed from another entity as its primary material, component, or basis.
  • E. hasResidentialBuilding
    Indicates that an entity possesses, contains, or is associated with a residential building as part of its properties or components.
  • 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_69e11e42adb8819087714772ea606709 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f138c003548190889860d6163eb873 completed April 28, 2026, 10:46 p.m.
PD Predicate disambiguation batch_69e72fe1e0cc8190bd13cff2a0846225 completed April 21, 2026, 8:05 a.m.
Created at: April 16, 2026, 8:39 p.m.