Triple

T3223079
Position Surface form Disambiguated ID Type / Status
Subject Sale E67553 entity
Predicate hasTransport P1298 FINISHED
Object Sale tram stop E35110 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: Sale tram stop | Statement: [Sale, hasTransport, Sale tram stop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sale tram stop
Context triple: [Sale, hasTransport, Sale tram stop]
  • A. Dam tram stop
    Dam tram stop is a central Amsterdam tram stop located on Dam Square, serving as a key access point to nearby landmarks and major shopping areas.
  • B. Sale Water Park tram stop chosen
    Sale Water Park tram stop is a light-rail station on Greater Manchester’s Metrolink network serving the Sale Water Park area and nearby communities.
  • C. Bus Stop
    Bus Stop is a 1956 romantic comedy-drama film starring Marilyn Monroe as a small-town saloon singer pursued by a naive cowboy.
  • D. Village tram stop
    Village tram stop is a Metrolink light-rail station serving the Village area on Greater Manchester’s Trafford Park Line.
  • E. EventCity tram stop
    EventCity tram stop is a Metrolink light-rail station in Greater Manchester serving the EventCity exhibition and events complex on the Trafford Park Line.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae196da8819086fdcf5d2b21a702 completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2625a22148190927b2a63ae3fc726 completed March 12, 2026, 6:51 a.m.
Created at: March 8, 2026, 3:08 p.m.