Triple

T22144368
Position Surface form Disambiguated ID Type / Status
Subject Papakura District E547247 entity
Predicate containsSettlement P847 FINISHED
Object Glenbrook NE NERFINISHED

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: Glenbrook | Statement: [Papakura District, containsSettlement, Glenbrook]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glenbrook
Context triple: [Papakura District, containsSettlement, Glenbrook]
  • A. Glenbrook chosen
    Glenbrook is a historic community located near Glenbrook Creek, known for its heritage significance and scenic surroundings.
  • B. Glenwood Park
    Glenwood Park is a public recreational park located in Macomb, Illinois, offering outdoor green space and amenities for community use.
  • C. Nashoba Valley
    Nashoba Valley is a region in north-central Massachusetts known for its rolling hills, outdoor recreation areas, and small New England towns.
  • D. Rolling Meadows
    Rolling Meadows is a suburban city in northeastern Illinois, United States, located in the Chicago metropolitan area.
  • E. River Grove
    River Grove is a suburban village in Cook County, Illinois, located near Chicago and served by commuter rail transit.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e3a95d88190a3bd80d9471976c3 completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f129efd52c8190ab0acff5bbfc0d77 completed April 28, 2026, 9:43 p.m.
Created at: April 16, 2026, 8:33 p.m.