Triple

T23005878
Position Surface form Disambiguated ID Type / Status
Subject Scutari E572765 entity
Predicate crossedBy P416 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: [Scutari, crossedBy, Metro line M5]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Metro line M5
Context triple: [Scutari, crossedBy, 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. M3 metro line
    The M3 metro line is one of Budapest’s main rapid transit lines, running in a north–south direction and connecting several key districts and transport hubs across the city.
  • 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_69e245b6a3ac81908087599eefe3e365 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f18356417881908c8d6ee56bdc85f5 completed April 29, 2026, 4:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bd3846500819094a1bb01797d22a5 completed May 19, 2026, 3:05 a.m.
Created at: April 17, 2026, 3:51 p.m.