Triple

T20434311
Position Surface form Disambiguated ID Type / Status
Subject S4 E501211 entity
Predicate hasRouteNumber P1864 FINISHED
Object S4 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: S4 | Statement: [S4, hasRouteNumber, S4]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S4
Context triple: [S4, hasRouteNumber, S4]
  • A. S4
    S4 is a commuter rail line within Germany’s Rhine-Ruhr S-Bahn network, serving suburban and regional connections across the metropolitan area.
  • B. S4
    S4 is a commuter rail line of the Rhine-Main S-Bahn network serving the Frankfurt metropolitan area in Germany.
  • C. S4
    S4 is a line of the Zürich S-Bahn suburban rail network serving the Adliswil area and other nearby communities.
  • D. S4
    S4 is a line of the Munich S-Bahn rapid transit network that runs through the central trunk route and connects Munich with its surrounding suburbs.
  • E. S4
    S4 is a major expressway in China commonly referred to as the Hujin Expressway, connecting Shanghai with nearby Jinshan.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69e0b4ab3cfc8190ac9bf32e932316b1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e685ecf7ac81908e9c2ef4348fb281 completed April 20, 2026, 8 p.m.
Created at: April 16, 2026, 11:31 a.m.