Triple

T7690840
Position Surface form Disambiguated ID Type / Status
Subject Dublin–Westport railway line (branch to Ballina) E174239 entity
Predicate lineCategory P76380 FINISHED
Object secondary rail route 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: secondary rail route | Statement: [Dublin–Westport railway line (branch to Ballina), lineCategory, secondary rail route]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lineCategory
Context triple: [Dublin–Westport railway line (branch to Ballina), lineCategory, secondary rail route]
  • A. lineType
    Indicates the specific category or style of a line used in a representation, such as its function or visual convention.
  • B. lineStandard
    Indicates that one entity is a standard or reference specification that defines or governs the characteristics or requirements of a particular line (such as a product line, production line, or service line).
  • C. lineSymbol
    Indicates that one entity is used as a line-style or line-representation symbol for another 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. lineUse chosen
    Indicates how a particular line (such as a route, track, or service line) is utilized or purposed within a system or network.
  • 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_69c6995966348190939e6c37ba272c06 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c706d1f0208190bc5b695aa5736244 completed March 27, 2026, 10:38 p.m.
PD Predicate disambiguation batch_69c70163dea88190ae729df50e63dfd7 completed March 27, 2026, 10:15 p.m.
Created at: March 27, 2026, 4:02 p.m.