Triple

T11461526
Position Surface form Disambiguated ID Type / Status
Subject Madeleine E271670 entity
Predicate tracksForLine8 P848 FINISHED
Object 2 LITERAL 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: 2 | Statement: [Madeleine, tracksForLine8, 2]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: tracksForLine8
Context triple: [Madeleine, tracksForLine8, 2]
  • A. subwayLine
    Indicates that there is a subway line connection or service relationship between the referenced entities.
  • B. monorailLines
    Indicates that there is a monorail transit line or system associated with, serving, or present in the referenced entity.
  • C. railwayLine chosen
    Indicates that there is a railway line connection or route associated with or passing through the referenced entity.
  • D. lineName
    Indicates the specific name or designation assigned to a particular line (such as a route, path, or service) that distinguishes it from other lines.
  • E. situatedOnTransportRoute
    Indicates that one entity is located along, on, or directly adjacent to a specified transport route (such as a road, railway, or shipping lane).
  • F. None of above.

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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d822f384f08190b1150ed1389dd31a completed April 9, 2026, 10:06 p.m.
PD Predicate disambiguation batch_69d80867ff248190bb157fa9e355353b completed April 9, 2026, 8:13 p.m.
Created at: April 8, 2026, 9:35 p.m.