Triple

T14418031
Position Surface form Disambiguated ID Type / Status
Subject Subiyah E357506 entity
Predicate infrastructureProjectType P39623 FINISHED
Object urban and industrial development 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: urban and industrial development | Statement: [Subiyah, infrastructureProjectType, urban and industrial development]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: infrastructureProjectType
Context triple: [Subiyah, infrastructureProjectType, urban and industrial development]
  • A. infrastructureProjects
    Indicates that there are planned, ongoing, or completed construction or development works related to physical or organizational infrastructure involving the associated entities.
  • B. typeOfDamProject
    Indicates that a given project is classified as a dam-related project (i.e., it is a project whose type is a dam project).
  • C. builtInfrastructureType
    Indicates the specific kind or category of built infrastructure associated with or characterized by the subject.
  • D. isPartOfInfrastructureType
    Indicates that something belongs to, or is categorized under, a specific type of infrastructure.
  • E. typeOfProject chosen
    Indicates the specific category or kind of project that an entity is associated with or classified under.
  • 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_69d82793421c8190861eb0e673b085de completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de90cec8e4819087c72d82f9caacda completed April 14, 2026, 7:09 p.m.
PD Predicate disambiguation batch_69de5c30467881908e770e3940295641 completed April 14, 2026, 3:24 p.m.
Created at: April 10, 2026, 1:17 a.m.