Triple

T14784765
Position Surface form Disambiguated ID Type / Status
Subject Zola Budd E347485 entity
Predicate distanceSpecialization P55486 FINISHED
Object middle and long distances 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: middle and long distances | Statement: [Zola Budd, distanceSpecialization, middle and long distances]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: distanceSpecialization
Context triple: [Zola Budd, distanceSpecialization, middle and long distances]
  • A. distanceSpecialism
    Indicates a relationship where an entity’s area of specialization is specifically in distance-related aspects (such as distance measurement, analysis, or optimization) within a broader domain.
  • B. distanceSpecialty chosen
    Indicates a relationship where an entity’s specialty or expertise is specifically in the field or domain of distance (e.g., distance learning, distance measurement, or distance-related services).
  • C. specializedDistance
    Indicates a relationship where the distance between entities is measured or defined using a specific, non-standard metric or specialized criterion.
  • D. distanceCategory
    Indicates the qualitative classification of how far apart two entities are from each other (e.g., near, medium, far).
  • E. distanceCharacteristic
    Indicates a relationship where an entity is described or constrained by some property or measure of distance (e.g., range, spacing, or separation).
  • 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_69d822e9b9e08190bedcc31a163fda82 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 completed April 14, 2026, 11:15 p.m.
PD Predicate disambiguation batch_69de8c090d1081909b5a9bf437499d6c completed April 14, 2026, 6:48 p.m.
Created at: April 10, 2026, 1:31 a.m.