Triple

T17721666
Position Surface form Disambiguated ID Type / Status
Subject Adult Opal card E442350 entity
Predicate hasConcessionStatus P37725 FINISHED
Object no concession discount 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: no concession discount | Statement: [Adult Opal card, hasConcessionStatus, no concession discount]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasConcessionStatus
Context triple: [Adult Opal card, hasConcessionStatus, no concession discount]
  • A. hasConcessions
    Indicates that one entity provides or contains concession facilities, services, or rights (such as food, drink, or merchandise sales) for another entity or within a given context.
  • B. hasConcessionaire
    Indicates that one entity is designated as the concessionaire (holder of operating or usage rights under a concession) for another entity.
  • C. concessionType chosen
    Indicates the specific kind or category of concession (such as a discount, exemption, or special allowance) that applies in a given context.
  • D. concessionExpiry
    Indicates that a granted concession or special permission remains valid only until a specified expiration time or date.
  • E. concessionBy
    Indicates that one party grants, yields, or makes allowances to another, often accepting a demand, point, or condition despite initial opposition or differing interests.
  • 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_69d8b9ec79688190b86bdcef85a7b3aa completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47486438c8190abe27eb4eb2c6fdf completed April 19, 2026, 6:21 a.m.
PD Predicate disambiguation batch_69e3cde601d4819097903f471f1fe99a completed April 18, 2026, 6:31 p.m.
Created at: April 10, 2026, 10:07 a.m.