Triple

T16539069
Position Surface form Disambiguated ID Type / Status
Subject S47 (Berlin S-Bahn line) E401772 entity
Predicate lineNumber P1864 FINISHED
Object S47 E148216 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: S47 | Statement: [S47 (Berlin S-Bahn line), lineNumber, S47]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S47
Context triple: [S47 (Berlin S-Bahn line), lineNumber, S47]
  • A. S47 chosen
    S47 is a line of the Berlin S-Bahn urban rail network serving parts of the German capital and its surrounding area.
  • B. S44
    S44 is a Staten Island local bus route in New York City that connects New Springville with other neighborhoods across the borough.
  • C. S46
    S46 is a commuter rail line of the Berlin S-Bahn network serving suburban and urban areas along its designated route.
  • D. S48
    S48 is the pennant number of HMS Conqueror, a British Royal Navy nuclear-powered fleet submarine best known for sinking the Argentine cruiser General Belgrano during the Falklands War.
  • 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 (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_69d88384bc30819084229e7dcdc39a41 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3455a98b481909e489ea7bd01570a completed April 18, 2026, 8:48 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0067ae169c81909a123b7dfe3fd906 completed May 10, 2026, 11:10 a.m.
Created at: April 10, 2026, 5:15 a.m.