Triple

T1766814
Position Surface form Disambiguated ID Type / Status
Subject Badr City E38780 entity
Predicate hasPlannedInfrastructure P348 FINISHED
Object water supply network 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: water supply network | Statement: [Badr City, hasPlannedInfrastructure, water supply network]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasPlannedInfrastructure
Context triple: [Badr City, hasPlannedInfrastructure, water supply network]
  • A. hasPlannedInstitution
    Indicates that an entity has an associated institution that is intended or scheduled to be established or implemented in the future.
  • B. plannedFacility chosen
    Indicates that a facility is intended or scheduled to be built, established, or implemented in the future but does not yet exist or operate.
  • C. hasPlannedCity
    Indicates that an entity has a city that was deliberately designed and constructed according to a prearranged plan.
  • D. hasInfrastructureType
    Indicates that an entity possesses or is associated with a specific category or type of infrastructure.
  • E. hasGlobalInfrastructure
    Indicates that an entity possesses infrastructure, facilities, or operational capabilities that are distributed across multiple countries or regions worldwide.
  • 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_69a8862d562481908d7025a1c1f67c0d completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69ab39fc2c448190bfaf1ee8d474632a completed March 6, 2026, 8:33 p.m.
PD Predicate disambiguation batch_69aa61cbb1288190a7ba38b61905f578 completed March 6, 2026, 5:10 a.m.
Created at: March 4, 2026, 7:31 p.m.