Triple

T11279833
Position Surface form Disambiguated ID Type / Status
Subject Wickham E267033 entity
Predicate hasNearbyOperations P98897 FINISHED
Object iron ore mines 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: iron ore mines | Statement: [Wickham, hasNearbyOperations, iron ore mines]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNearbyOperations
Context triple: [Wickham, hasNearbyOperations, iron ore mines]
  • A. hasNearbyFunction
    Indicates that one entity has another entity located close by that serves a related or supportive function.
  • B. hasNearbyProject
    Indicates that one entity has a project located within a close or specified proximity to another entity or reference point.
  • C. hasOperationsIn
    Indicates that an entity conducts business activities or maintains operational presence within a specified location or region.
  • D. hasNearbyMode
    Indicates that one entity has another entity located close enough to be considered in its immediate vicinity or surrounding area.
  • E. hasNearbyEventType
    Indicates that an event of a specified type occurs in close spatial or contextual proximity to a given reference entity or location.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e969b3448190940e2bd499d2d7de completed April 9, 2026, 6:01 p.m.
PD Predicate disambiguation batch_69d787a240588190aa097298f951c915 completed April 9, 2026, 11:04 a.m.
PDg Predicate description generation batch_69d796cf74308190a5b29d0dd82954a2 completed April 9, 2026, 12:08 p.m.
Created at: April 8, 2026, 9:31 p.m.