Triple

T10535201
Position Surface form Disambiguated ID Type / Status
Subject Queens Theatre E248543 entity
Predicate nearbyLandmark P350 FINISHED
Object Unisphere E242722 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: Unisphere | Statement: [Queens Theatre, nearbyLandmark, Unisphere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Unisphere
Context triple: [Queens Theatre, nearbyLandmark, Unisphere]
  • A. Unisphere chosen
    The Unisphere is a giant stainless-steel globe sculpture in Flushing Meadows–Corona Park, Queens, best known as an enduring landmark celebrating global interdependence and space-age optimism.
  • B. Sunsphere
    The Sunsphere is a 266-foot-tall, gold-glass observation tower built as the symbol of the 1982 World's Fair in Knoxville, Tennessee.
  • C. Rendezvous Complex
    Rendezvous Complex is a multi-purpose academic and student services building at Idaho State University that houses classrooms, student housing, and various campus support facilities.
  • D. Telos
    Telos is an icy, subterranean planet in the Doctor Who universe best known as a major stronghold and tomb world of the Cybermen.
  • E. Orbis
    Orbis is Yale University Library’s online catalog system that provides access to its extensive collections of books, media, and other resources.
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a1b20d48190a51358ec1af80371 completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69d90e507b408190ae3538d02536ef4c completed April 10, 2026, 2:50 p.m.
Created at: April 6, 2026, 12:31 p.m.