Triple

T12086077
Position Surface form Disambiguated ID Type / Status
Subject South-Western Administrative Okrug E287809 entity
Predicate hasLandmark P105 FINISHED
Object Bitsevsky Park E259720 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: Bitsevsky Park | Statement: [South-Western Administrative Okrug, hasLandmark, Bitsevsky Park]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bitsevsky Park
Context triple: [South-Western Administrative Okrug, hasLandmark, Bitsevsky Park]
  • A. Bitsevsky Park chosen
    Bitsevsky Park is a station on the Moscow Metro serving the area near the large Bitsevskiy forest park in southern Moscow.
  • B. Belinsky Park
    Belinsky Park is a notable public park and recreational green space in the city of Penza, Russia.
  • C. Fermsky Park
    Fermsky Park is a public green space in the Pushkinsky District of Saint Petersburg, Russia, offering residents and visitors areas for recreation and outdoor leisure.
  • D. Schmul Park
    Schmul Park is a neighborhood park on Staten Island, New York City, that serves as a community recreation space and gateway to the larger Freshkills Park project.
  • E. Petrovsky Park
    Petrovsky Park is a historic green space in Moscow known for its 19th-century Petrovsky Palace and proximity to major sports and cultural venues.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91514c78c8190bc1cd569e524e8b4 completed April 10, 2026, 3:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a6d74888190aab150f1ceb2e9f1 completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:48 p.m.