Triple

T21196036
Position Surface form Disambiguated ID Type / Status
Subject Osnabrück–Brackwede railway E522327 entity
Predicate connects P390 FINISHED
Object Brackwede 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: Brackwede | Statement: [Osnabrück–Brackwede railway, connects, Brackwede]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brackwede
Context triple: [Osnabrück–Brackwede railway, connects, Brackwede]
  • A. Brackwede chosen
    Brackwede is a district of the city of Bielefeld in North Rhine-Westphalia, Germany, known historically as an independent town before its incorporation.
  • B. Farnhill
    Farnhill is a small village in North Yorkshire, England, situated on the hillside above the River Aire in the Aire Valley.
  • C. Bracebridge Heath
    Bracebridge Heath is a large village and civil parish in Lincolnshire, England, situated just south of the city of Lincoln.
  • D. Wickhambrook
    Wickhambrook is a rural village and civil parish in the county of Suffolk in eastern England.
  • E. Buckthorne
    Buckthorne is the fictional protagonist of the satirical work "Buckthorne and His Friends," around whom the story’s social observations and character interactions revolve.
  • 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_69e0b51061388190aa03f19700d3ef04 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e7333bd7a0819084bbd1d6c111bc65 completed April 21, 2026, 8:20 a.m.
Created at: April 16, 2026, 3:08 p.m.