Triple

T12454398
Position Surface form Disambiguated ID Type / Status
Subject Rhine-Main S-Bahn E297618 entity
Predicate hasLine P35 FINISHED
Object S9 E819068 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: S9 | Statement: [Rhine-Main S-Bahn, hasLine, S9]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S9
Context triple: [Rhine-Main S-Bahn, hasLine, S9]
  • A. S9
    S9 is a line of the Berlin S-Bahn rapid transit network that connects Berlin Brandenburg Airport with central and western parts of the city.
  • B. S9 chosen
    S9 is a regional S-Bahn rail line within Germany’s Rhine-Ruhr metropolitan transit network, connecting multiple cities across the area.
  • C. S91
    S91 is a Staten Island local bus route in New York City that provides public transit service through neighborhoods including New Springville.
  • D. Moonton
    Moonton is a Chinese video game developer best known for creating the popular mobile multiplayer online battle arena game Mobile Legends: Bang Bang.
  • E. S19
    S19 is a Polish expressway forming part of the international Via Carpatia route, running north–south through eastern Poland.
  • 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94da0b5988190b9df26dd3bb87337 completed April 10, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f64ba170908190b7b52ba3e725ea5e completed May 2, 2026, 7:08 p.m.
Created at: April 8, 2026, 9:56 p.m.