Triple

T36833029
Position Surface form Disambiguated ID Type / Status
Subject Kingsford Legal Centre E910194 entity
Predicate hasClientFees P195662 FINISHED
Object no 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 | Statement: [Kingsford Legal Centre, hasClientFees, no]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasClientFees
Context triple: [Kingsford Legal Centre, hasClientFees, no]
  • A. chargesFeeFor
    Indicates that one entity requires payment of a fee from another entity in exchange for a specific service, product, or privilege.
  • B. transactionFees
    Indicates the fees charged or incurred as part of executing a financial transaction between parties.
  • C. hasCost
    Indicates that one entity requires a specified amount of resources (such as money, time, or effort) to be obtained, used, or maintained by another entity.
  • D. isFeePaying
    Indicates that an entity is required to pay a fee in order to participate in, access, or receive a specified service, resource, or activity.
  • E. tieneComisiones
    Indicates that an entity is associated with or subject to commissions, such as fees or percentage-based charges.
  • 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_69f76e7e9d60819092442fba73290a46 completed May 3, 2026, 3:49 p.m.
NER Named-entity recognition batch_69fddd373cdc8190be1b12e70e4deb1f completed May 8, 2026, 12:55 p.m.
PD Predicate disambiguation batch_69fddc6915a88190ad41e379aa3ede13 completed May 8, 2026, 12:51 p.m.
PDg Predicate description generation batch_69fddd364c1481908794c9d423bdc2d7 completed May 8, 2026, 12:55 p.m.
Created at: May 3, 2026, 4:13 p.m.