Triple

T20037806
Position Surface form Disambiguated ID Type / Status
Subject Schöneberg E497321 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: [Schöneberg, hasS-BahnLine, S41]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S41
Context triple: [Schöneberg, 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 Berlin S-Bahn suburban rail line that connects the city’s southern districts, including Berlin Brandenburg Airport, with the wider urban transit network.
  • 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_69da627278c88190babe4297a9df1236 completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e662e935ac8190900cdb4f0cfde505 completed April 20, 2026, 5:31 p.m.
Created at: April 11, 2026, 3:36 p.m.