Triple

T2562296
Position Surface form Disambiguated ID Type / Status
Subject English in the Solomon Islands E57267 entity
Predicate statusInUrbanAreas P40494 FINISHED
Object more widely used in workplaces and institutions 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: more widely used in workplaces and institutions | Statement: [English in the Solomon Islands, statusInUrbanAreas, more widely used in workplaces and institutions]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: statusInUrbanAreas
Context triple: [English in the Solomon Islands, statusInUrbanAreas, more widely used in workplaces and institutions]
  • A. withinUrbanArea
    Indicates that one entity is located inside the spatial boundaries of an urban area associated with another entity.
  • B. isUrbanized
    Indicates that a place or area has been developed with dense human settlement, infrastructure, and built environment characteristic of a city or town.
  • C. urbanizationLevel
    Indicates the degree to which an area or population is characterized by urban development, infrastructure, and density of human settlement.
  • D. containsUrbanArea
    Indicates that a geographic region fully or partially encompasses an urbanized area within its boundaries.
  • E. isUrbanizing
    Indicates a process in which an area or population becomes more urban in character, typically through increased development, infrastructure, and concentration of people and activities.
  • 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_69ab4a4ef9008190a0e6d4422b9418b7 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abd35c6ee88190b6eaa1841d3e99a4 completed March 7, 2026, 7:27 a.m.
PD Predicate disambiguation batch_69abd0caeb488190b0dd8e48d0f2777d completed March 7, 2026, 7:16 a.m.
PDg Predicate description generation batch_69abd35b216881908f4ef32d1c1e5080 completed March 7, 2026, 7:27 a.m.
Created at: March 6, 2026, 9:48 p.m.