Triple

T5409627
Position Surface form Disambiguated ID Type / Status
Subject Handen station E120980 entity
Predicate railwayLine P848 FINISHED
Object Nynäs Line E511391 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: Nynäs Line | Statement: [Handen station, railwayLine, Nynäs Line]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nynäs Line
Context triple: [Handen station, railwayLine, Nynäs Line]
  • A. Nynäs Line chosen
    The Nynäs Line is a Swedish railway route in Stockholm County that connects the city of Nynäshamn with the southern suburbs of Stockholm.
  • B. Maritime Line
    Maritime Line is a regional railway service in Cornwall, England, connecting Falmouth with the mainline rail network.
  • C. Franklin Line
    The Franklin Line is a Massachusetts Bay Transportation Authority (MBTA) commuter rail line serving communities southwest of Boston.
  • D. Riviera Line
    The Riviera Line is a scenic railway route in Devon, England, running along the coast and serving popular seaside towns between Exeter and Paignton.
  • E. B Line
    The B Line is a heavy-rail subway line in the Los Angeles Metro Rail system that runs primarily beneath Hollywood and Downtown Los Angeles.
  • 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_69bd463a41cc8190b32ff5af2b96ca93 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd8796a420819092c1771407cd1a5d completed March 20, 2026, 5:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf339e02dc8190bb2ca6e0a0ef4621 completed March 22, 2026, 12:11 a.m.
Created at: March 20, 2026, 2:05 p.m.