Triple

T9687250
Position Surface form Disambiguated ID Type / Status
Subject Rosebank E234441 entity
Predicate servedByBus P14525 FINISHED
Object S51 E752877 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: S51 | Statement: [Rosebank, servedByBus, S51]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: S51
Context triple: [Rosebank, servedByBus, S51]
  • A. S51 chosen
    S51 is a New York City bus route on Staten Island that connects the Shore Acres area with other parts of the borough.
  • B. S52
    S52 is a bus service route that provides public transportation access to the village of Grasmere.
  • C. S5
    S5 is a line of the Berlin S-Bahn rapid transit network serving routes between central Berlin and its eastern suburbs.
  • D. S5
    S5 is a commuter rail line of the Stuttgart S-Bahn network serving the Stuttgart metropolitan area in Germany.
  • E. S59
    S59 is a Staten Island bus route in New York City that provides local transit service through neighborhoods including New Springville.
  • 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_69ca84ca73208190957a900c8543bdcc completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9cd42cc081909abcf4c85592d950 completed April 1, 2026, 10:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1910f94048190bf72712ed55e355b completed April 4, 2026, 10:30 p.m.
Created at: March 30, 2026, 8:17 p.m.