Triple

T12441605
Position Surface form Disambiguated ID Type / Status
Subject Heatherdown School E297283 entity
Predicate feeStatus P104951 FINISHED
Object fee-paying 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: fee-paying | Statement: [Heatherdown School, feeStatus, fee-paying]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: feeStatus
Context triple: [Heatherdown School, feeStatus, fee-paying]
  • A. feeTypeAuthorized
    Indicates that a particular type of fee is permitted or approved for use in a given context or relationship.
  • B. feeType
    Indicates the specific category or classification of a fee associated with a transaction, service, or obligation.
  • C. feePolicy
    Indicates the rules or conditions that determine how fees are calculated, applied, or charged in a given context.
  • D. fareStatus
    Indicates the current condition or classification of a fare within a pricing or ticketing context (e.g., available, restricted, or expired).
  • E. hasFinancialStatus
    Indicates that an entity possesses or is characterized by a particular financial condition, standing, or level of economic well-being.
  • F. None of above. chosen

Provenance (4 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_69d6ada166c48190b902972cd2408fa3 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94df948308190ace333230a4a3b38 completed April 10, 2026, 7:22 p.m.
PD Predicate disambiguation batch_69d94d391c548190996a8c698357f273 completed April 10, 2026, 7:19 p.m.
PDg Predicate description generation batch_69d94df652cc8190a1d2d685fa87cf98 completed April 10, 2026, 7:22 p.m.
Created at: April 8, 2026, 9:55 p.m.