Triple

T17909511
Position Surface form Disambiguated ID Type / Status
Subject Pops E447783 entity
Predicate employer P7 FINISHED
Object The Park 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: The Park | Statement: [Pops, employer, The Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Park
Context triple: [Pops, employer, The Park]
  • A. The Park chosen
    The Park is the surreal, city-owned recreational area and primary setting of the animated series "Regular Show," where characters like Rigby and Mordecai work and have their bizarre adventures.
  • B. The Park
    The Park is a tranquil, nature-filled district of Stormwind City in World of Warcraft, known for its lush greenery and scenic views overlooking the harbor.
  • C. Park of the Wall
    Park of the Wall is a public park in Lima, Peru, known for preserving remnants of the city’s historic defensive walls and offering green recreational space in the historic center.
  • D. Parasol Park
    Parasol Park is a planned residential neighborhood within the Great Park Neighborhoods community in Irvine, California, known for its contemporary homes and community-focused amenities.
  • E. Milpark
    Milpark is an inner-city area of Johannesburg, South Africa, known for its proximity to major universities, hospitals, and cultural hubs like Braamfontein.
  • 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_69d8b9f6d394819082a6d69fd1e23d2f completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49e9f4f888190840c8b55672becf8 completed April 19, 2026, 9:21 a.m.
Created at: April 10, 2026, 10:19 a.m.