Triple

T5323355
Position Surface form Disambiguated ID Type / Status
Subject David Lange E121727 entity
Predicate representedElectorate P15002 FINISHED
Object Mangere E240420 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: Mangere | Statement: [David Lange, representedElectorate, Mangere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mangere
Context triple: [David Lange, representedElectorate, Mangere]
  • A. Mangere chosen
    Mangere is a suburb of Auckland, New Zealand, known for its large Pacific Islander communities and proximity to Auckland Airport.
  • B. Hjulsta
    Hjulsta is a suburb in northwestern Stockholm, Sweden, known for being the terminus of one of the Stockholm metro lines.
  • C. Djursholm
    Djursholm is an affluent suburban district of Stockholm, Sweden, known for its villas, garden-city planning, and status as one of the country’s wealthiest residential areas.
  • D. Rotebro
    Rotebro is a suburban district in the northern Stockholm area of Sweden, known for its residential neighborhoods and commuter connections.
  • E. Sandvika
    Sandvika is a town in southeastern Norway that serves as the administrative center of Bærum and a commercial hub in the Greater Oslo Region.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8579b3e88190a1d21d4b74169617 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf18a836988190b7baf3c24fea6f03 completed March 21, 2026, 10:16 p.m.
Created at: March 20, 2026, 1:59 p.m.