Triple

T23304941
Position Surface form Disambiguated ID Type / Status
Subject Bundesplatz E590408 entity
Predicate hasS-BahnLine P58937 FINISHED
Object S41 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: S41 | Statement: [Bundesplatz, hasS-BahnLine, S41]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S41
Context triple: [Bundesplatz, hasS-BahnLine, S41]
  • A. S41 chosen
    S41 is a circular Berlin S-Bahn line that runs clockwise around the city’s Ringbahn, connecting numerous districts in a loop.
  • B. S42
    S42 is a Berlin S-Bahn ring line that operates in a clockwise direction around the city.
  • C. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • D. S45
    S45 is the FAA location identifier for Siletz Bay State Airport, a public airport serving the Lincoln City area in Oregon, United States.
  • E. S45
    S45 is a commuter rail line of the Vienna S-Bahn network serving suburban districts of Austria’s capital.
  • 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_69e25d1c0ecc8190a355aa229f06d0e0 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19725b248819089e61efb82e3440f completed April 29, 2026, 5:29 a.m.
Created at: April 17, 2026, 5:04 p.m.