Triple

T34701112
Position Surface form Disambiguated ID Type / Status
Subject Tana Tidung Regency E1000370 entity
Predicate hasDevelopingInfrastructure P199155 FINISHED
Object true 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: true | Statement: [Tana Tidung Regency, hasDevelopingInfrastructure, true]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasDevelopingInfrastructure
Context triple: [Tana Tidung Regency, hasDevelopingInfrastructure, true]
  • A. hasInfrastructureAlong
    Indicates that infrastructure is present or extends along the length or course of another entity (such as a route, boundary, or geographic feature).
  • B. hasCommercialInfrastructure
    Indicates that an entity possesses or is equipped with facilities, systems, or structures that support commercial or business activities.
  • C. hasDevelopmentStructures
    Indicates that an entity possesses or is associated with physical or organizational structures used for development activities (such as construction, research, or software development).
  • D. hasInfrastructureAbove
    Indicates that one entity’s infrastructure is physically located above or over another entity.
  • E. hasMajorTransportInfrastructure
    Indicates that a location possesses significant transportation facilities or networks, such as major roads, railways, ports, or airports, that support substantial movement of people or goods.
  • 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_69f76dab937881909c86f1b9ad50445f completed May 3, 2026, 3:45 p.m.
NER Named-entity recognition batch_69ff234f32888190a1d800a3bda432eb completed May 9, 2026, 12:06 p.m.
PD Predicate disambiguation batch_69ff228ae9a0819083f4b97c10b923f4 completed May 9, 2026, 12:03 p.m.
PDg Predicate description generation batch_69ff234e63648190a7b09a161029c8e2 completed May 9, 2026, 12:06 p.m.
Created at: May 3, 2026, 3:59 p.m.