Triple

T16858740
Position Surface form Disambiguated ID Type / Status
Subject Berlin-Moabit E409853 entity
Predicate contains P35 FINISHED
Object Ottopark E610260 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: Ottopark | Statement: [Berlin-Moabit, contains, Ottopark]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ottopark
Context triple: [Berlin-Moabit, contains, Ottopark]
  • A. Ottopark chosen
    Ottopark is a small urban green space in Berlin’s Moabit district, offering residents a local spot for relaxation and recreation.
  • B. Parkring
    Parkring is a central boulevard in Vienna that forms part of the historic Ringstrasse, known for its grand architecture and proximity to prominent parks and landmarks.
  • C. Lesoparkovaya
    Lesoparkovaya is a Moscow Metro station on the Butovskaya Line serving the southern part of the city near large park areas.
  • D. Parkend
    Parkend is a small village situated within England’s historic Forest of Dean, known for its woodland surroundings and industrial heritage.
  • E. Stars Park
    Stars Park was a historic Negro National League baseball stadium in St. Louis, Missouri, that served as the home field of the St. Louis Stars in the 1920s.
  • 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_69d88395e6c88190b22730f335107c14 completed April 10, 2026, 4:59 a.m.
NER Named-entity recognition batch_69e3b37ef4748190b149d98fc0ab4205 completed April 18, 2026, 4:38 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00bb25300c8190a352037c21c244bd completed May 10, 2026, 5:06 p.m.
Created at: April 10, 2026, 5:24 a.m.