Triple

T22281616
Position Surface form Disambiguated ID Type / Status
Subject Glostrup E550744 entity
Predicate hasIndustrialArea P40 FINISHED
Object Glostrup industrial district 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: Glostrup industrial district | Statement: [Glostrup, hasIndustrialArea, Glostrup industrial district]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glostrup industrial district
Context triple: [Glostrup, hasIndustrialArea, Glostrup industrial district]
  • A. Altona industrial precinct
    Altona industrial precinct is a major industrial and manufacturing hub in Melbourne’s western suburbs, hosting a range of heavy industry, logistics, and warehousing facilities.
  • B. Glostrup chosen
    Glostrup is a suburban town and municipality in the Copenhagen metropolitan area of Denmark, known for its residential neighborhoods and commercial districts.
  • C. Høje Taastrup
    Høje Taastrup is a major suburban railway and transport hub in the western part of the Copenhagen metropolitan area.
  • D. Ballerup
    Ballerup is a suburban municipality near Copenhagen in eastern Denmark, known for its residential areas, business parks, and sports facilities.
  • E. Valby
    Valby is a district in Copenhagen, Denmark, known as an important local transport and residential area within the city.
  • 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_69e11e44d538819097c6b8f333af3352 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f14eac0994819088e39a1b5d39cf18 completed April 29, 2026, 12:19 a.m.
Created at: April 16, 2026, 8:40 p.m.