Triple

T14105945
Position Surface form Disambiguated ID Type / Status
Subject TF1 Séries Films E339504 entity
Predicate payFreeStatus P31367 FINISHED
Object free-to-air television channel 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: free-to-air television channel | Statement: [TF1 Séries Films, payFreeStatus, free-to-air television channel]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: payFreeStatus
Context triple: [TF1 Séries Films, payFreeStatus, free-to-air television channel]
  • A. feeStatus
    Indicates the current state or condition of fees associated with an entity, such as whether they are due, paid, waived, or overdue.
  • B. isFreeOfCharge chosen
    Indicates that no payment or fee is required for the associated action, service, or item.
  • C. paidFor
    Indicates that one entity provided payment to cover the cost of something on behalf of another entity.
  • D. isUnpaid
    Indicates that an expected payment, fee, or financial obligation has not yet been made or settled.
  • E. hasPayStatus
    Indicates the current payment state or condition associated with an entity, such as whether an amount is paid, unpaid, pending, or otherwise resolved.
  • 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_69d81c69b5c8819094aa1abf18302908 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600ada808190b92d67dc30f13d15 completed April 14, 2026, 3:40 p.m.
PD Predicate disambiguation batch_69de05b2f7e481908a9a7d40153234c0 completed April 14, 2026, 9:15 a.m.
Created at: April 9, 2026, 10:22 p.m.