Triple

T3513117
Position Surface form Disambiguated ID Type / Status
Subject Balikpapan E74241 entity
Predicate hasUrbanRanking P40854 FINISHED
Object one of the most developed urban centers on Borneo 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: one of the most developed urban centers on Borneo | Statement: [Balikpapan, hasUrbanRanking, one of the most developed urban centers on Borneo]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasUrbanRanking
Context triple: [Balikpapan, hasUrbanRanking, one of the most developed urban centers on Borneo]
  • A. isGlobalCityRank
    Indicates the relative position or ranking of a city within a global hierarchy of cities based on specified criteria.
  • B. hasUrbanClassification chosen
    Indicates that an entity is assigned a specific urban status or category within a defined classification system.
  • C. areaRank
    Indicates the relative ordering or position of an entity based on the size of its area compared to others.
  • D. hasUrbanFunction
    Indicates that an entity serves a specific role or purpose within an urban context, such as providing services, infrastructure, or activities typical of a city environment.
  • E. hasUrbanFeature
    Indicates that a place or area possesses a specific urban element or infrastructure feature (such as roads, parks, or buildings) as part of its built environment.
  • 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc2d0bf481909d1f19a87d147b63 completed March 8, 2026, 6:13 p.m.
PD Predicate disambiguation batch_69adae0e770481908528fa35eda53003 completed March 8, 2026, 5:12 p.m.
Created at: March 8, 2026, 3:19 p.m.