Triple

T13543143
Position Surface form Disambiguated ID Type / Status
Subject Kyalami E323440 entity
Predicate locatedNear P294 FINISHED
Object Lonehill E914714 NE 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: Lonehill | Statement: [Kyalami, locatedNear, Lonehill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lonehill
Context triple: [Kyalami, locatedNear, Lonehill]
  • A. Lonehill chosen
    Lonehill is a suburban residential and commercial area in the northern part of Johannesburg, South Africa, known for its family-friendly environment and proximity to major business hubs.
  • B. Whitehill
    Whitehill is a small town and civil parish in East Hampshire, England, known for its proximity to the former army town of Bordon and the surrounding heathland and woodland.
  • C. Hallglen
    Hallglen is a residential area and housing estate within the town of Falkirk in central Scotland.
  • D. Spruce Hill
    Spruce Hill is a primarily residential neighborhood in West Philadelphia known for its historic Victorian architecture and proximity to the University of Pennsylvania.
  • E. Iveland
    Iveland is a small rural municipality in southern Norway known for its forests, agriculture, and mineral resources.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d8076776248190bdf0d4fa1f85a5fc completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbafda36248190acabde65a88c5471 completed April 12, 2026, 2:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75da094288190aff108b006c3da1f completed May 3, 2026, 2:37 p.m.
Created at: April 9, 2026, 9:45 p.m.