Triple

T16482850
Position Surface form Disambiguated ID Type / Status
Subject Unterstrass E400364 entity
Predicate borders P224 FINISHED
Object Irchelpark area E94553 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: Irchelpark area | Statement: [Unterstrass, borders, Irchelpark area]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irchelpark area
Context triple: [Unterstrass, borders, Irchelpark area]
  • A. Irchelpark chosen
    Irchelpark is a large public park in Zurich, Switzerland, known for its landscaped green spaces, ponds, and integration with the University of Zurich’s Irchel campus.
  • B. Neckarpark area
    The Neckarpark area is a major event and leisure district in Stuttgart, Germany, known for its sports stadiums, arenas, and large-scale entertainment venues.
  • C. Brugmann Park area
    Brugmann Park area is a residential neighborhood in Brussels known for its green spaces and proximity to the historic Brugmann Park.
  • D. Dukku Park area
    Dukku Park area is a locality within Gombe, Nigeria, known primarily as a transport and commercial hub serving travelers and residents in the region.
  • E. Duden Park
    Duden Park is a public green space in the Brussels municipality of Uccle, known for its wooded areas, walking paths, and recreational facilities.
  • 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_69d883813098819084f5409539723b59 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e32e03643881908b16ddb9004af5d0 completed April 18, 2026, 7:08 a.m.
NED1 Entity disambiguation (via context triple) batch_6a005820790c819088d953eeea09328d completed May 10, 2026, 10:04 a.m.
Created at: April 10, 2026, 5:13 a.m.