Triple

T15260484
Position Surface form Disambiguated ID Type / Status
Subject Eclipse E364760 entity
Predicate studFeeHighPoint P39199 FINISHED
Object 50 guineas 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: 50 guineas | Statement: [Eclipse, studFeeHighPoint, 50 guineas]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: studFeeHighPoint
Context triple: [Eclipse, studFeeHighPoint, 50 guineas]
  • A. tuitionFee chosen
    Indicates the amount of money that must be paid for instruction or enrollment in an educational program.
  • B. tuitionLevel
    Indicates the relative cost or pricing tier of tuition associated with an entity.
  • C. tuitionFeeType
    Indicates the category or structure of tuition fees that applies to an entity (such as full-time, part-time, in-state, out-of-state, or other fee types).
  • D. tuitionBased
    Indicates that something operates, is determined, or is structured based on the amount or presence of tuition fees.
  • E. isTuitionFreeFor
    Indicates that one entity does not require another entity to pay tuition fees for access, enrollment, or participation.
  • 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_69d85a0f08408190b3c3259ae35d79d2 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e0084e85a08190b8e63598b9f6a535 completed April 15, 2026, 9:51 p.m.
PD Predicate disambiguation batch_69deca8d1bd48190a4b94f29b425e335 completed April 14, 2026, 11:15 p.m.
Created at: April 10, 2026, 3:14 a.m.