Triple

T7682033
Position Surface form Disambiguated ID Type / Status
Subject Üsküdar E174017 entity
Predicate hasTransport P1298 FINISHED
Object Metro line M5 E653278 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: Metro line M5 | Statement: [Üsküdar, hasTransport, Metro line M5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro line M5
Context triple: [Üsküdar, hasTransport, Metro line M5]
  • A. M5 line chosen
    The M5 line is a fully automated, driverless metro line forming part of Istanbul's rapid transit network on the Asian side of the city.
  • B. Metro line 50
    Metro line 50 is a rapid transit line in Amsterdam that runs in an east–west arc connecting several major residential and business districts without passing through the historic city center.
  • C. Metro lines M4 and M5
    Metro lines M4 and M5 are key rapid transit routes on the Asian side of Istanbul, connecting major residential and commercial districts to the wider city metro network.
  • D. Metro line 51
    Metro line 51 is a former hybrid metro/light rail line in Amsterdam that connected the city center with the southern suburbs, including Amsterdam Zuid.
  • E. Metro Line 53
    Metro Line 53 is a rapid transit line in Amsterdam that connects the city center with the southeastern suburbs as part of the Amsterdam Metro system.
  • 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_69c6995840408190a19de6c51090f46f completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c70201387c8190afc8479b5a9e21e8 completed March 27, 2026, 10:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8a25304b88190920c2e4908925ce2 completed March 29, 2026, 3:53 a.m.
Created at: March 27, 2026, 4:01 p.m.