Triple

T14367960
Position Surface form Disambiguated ID Type / Status
Subject Budapest District XXII E356283 entity
Predicate contains P35 FINISHED
Object Memento Park E70149 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: Memento Park | Statement: [Budapest District XXII, contains, Memento Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Memento Park
Context triple: [Budapest District XXII, contains, Memento Park]
  • A. Memento Park chosen
    Memento Park is an open-air museum in Budapest that displays statues and monuments from Hungary’s communist era.
  • B. Gone
    "Gone" is a reflective hip-hop track by Kanye West featuring Consequence and Cam'ron, known for its soulful Otis Redding sample and intricate storytelling.
  • C. Gone
    "Gone" is a suspense thriller novel by bestselling American crime writer Lisa Gardner, featuring a high-stakes kidnapping investigation and psychological tension.
  • D. Gone
    "Gone" is a song featured on the album "Music" by American singer Madonna.
  • E. Gone
    "Gone" is a 2019 electro-pop collaboration between Charli XCX and Christine and the Queens known for its cathartic themes of alienation and its critically acclaimed, high-energy production.
  • 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_69d8279163a081908aec45c0e3f1e02f completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de8faf00e8819087d7100e9d8c1877 completed April 14, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd4c51bf888190b1776461884c4514 completed May 8, 2026, 2:37 a.m.
Created at: April 10, 2026, 1:15 a.m.