Triple

T15868942
Position Surface form Disambiguated ID Type / Status
Subject Sector 1, Bucharest E384782 entity
Predicate containsPart P35 FINISHED
Object Băneasa Forest E629489 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: Băneasa Forest | Statement: [Sector 1, Bucharest, containsPart, Băneasa Forest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Băneasa Forest
Context triple: [Sector 1, Bucharest, containsPart, Băneasa Forest]
  • A. Băneasa Forest chosen
    Băneasa Forest is a large woodland area on the northern edge of Bucharest, Romania, known for its recreational spaces, walking paths, and role as a green buffer for the city.
  • B. Crângași Park
    Crângași Park is a public urban park in Bucharest, Romania, known for its green spaces, recreational facilities, and proximity to the Morii Lake.
  • C. Valea Morilor Park
    Valea Morilor Park is a large scenic public park in Chișinău, Moldova, known for its central lake, wooded hills, and popular recreational paths.
  • D. Cluj-Napoca Central Park
    Cluj-Napoca Central Park is a historic urban park in Cluj-Napoca, Romania, known for its tree-lined avenues, recreational spaces, and cultural events near the city center.
  • E. Rochor
    Rochor is a central urban planning area and historic district in Singapore known for its mix of heritage sites, commercial activity, and dense public housing.
  • 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_69d86da4e86481909f1325fdc971b5ec completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e155f7fe8c81908fb60ada27b14c8b completed April 16, 2026, 9:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffa94a4d208190805d33da0e433092 completed May 9, 2026, 9:38 p.m.
Created at: April 10, 2026, 4:50 a.m.