Triple

T8151066
Position Surface form Disambiguated ID Type / Status
Subject Welkom E190332 entity
Predicate hasNearbySettlementType P65946 FINISHED
Object townships 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: townships | Statement: [Welkom, hasNearbySettlementType, townships]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbySettlementType
Context triple: [Welkom, hasNearbySettlementType, townships]
  • A. hasNearestLargerSettlement
    Indicates that one settlement is associated with the geographically closest settlement that is larger in size or population.
  • B. hasNearbyTownType chosen
    Indicates that one entity has, in its vicinity, a town of a specified type or classification.
  • C. hasNearbyTown
    Indicates that one location has a town situated close to it in geographic proximity.
  • D. hasAdjacentSettlement
    Indicates that one settlement is located directly next to or bordering another settlement.
  • E. hasTribalHeadquartersNearby
    Indicates that the subject entity is located close to the tribal headquarters of a Native nation or tribe.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb4481f19c8190aeec9bf029ad321b completed March 31, 2026, 3:50 a.m.
PD Predicate disambiguation batch_69cb36a0847c8190af9038aef78319b3 completed March 31, 2026, 2:51 a.m.
Created at: March 30, 2026, 5:37 p.m.