Triple

T14859574
Position Surface form Disambiguated ID Type / Status
Subject Limpertsberg E349452 entity
Predicate hasGreenSpace P1495 FINISHED
Object Parc Tony Neuman E1124176 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: Parc Tony Neuman | Statement: [Limpertsberg, hasGreenSpace, Parc Tony Neuman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Parc Tony Neuman
Context triple: [Limpertsberg, hasGreenSpace, Parc Tony Neuman]
  • A. Parc Tony Neuman chosen
    Parc Tony Neuman is a public park in Luxembourg City known for its green spaces and outdoor sculptures, serving as a popular recreational area for residents and visitors.
  • B. Boisseranc Park
    Boisseranc Park is a public recreational park located in the city of Buena Park in Southern California.
  • C. Vassallo Park
    Vassallo Park is a local public park in Croton-on-Hudson, New York, offering green space and recreational amenities for community use.
  • D. Reverchon Park
    Reverchon Park is a historic urban park in Dallas, Texas, known for its recreational facilities, green spaces, and proximity to the popular Katy Trail.
  • E. French Park
    French Park was the original name of Shanghai’s historic Fuxing Park, a former French Concession green space known for its European-style layout and cultural significance.
  • 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_69d822ed7e1881909b90fca143ad7e34 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded44598e48190b759a05ed2d9ecaf completed April 14, 2026, 11:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b4f224c8190bb2e06203c9b3a94 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:54 a.m.