Triple

T6759826
Position Surface form Disambiguated ID Type / Status
Subject Hugo Award for Best Novelette E154561 entity
Predicate lengthRequirement P27681 FINISHED
Object between 7,500 and 17,500 words 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: between 7,500 and 17,500 words | Statement: [Hugo Award for Best Novelette, lengthRequirement, between 7,500 and 17,500 words]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: lengthRequirement
Context triple: [Hugo Award for Best Novelette, lengthRequirement, between 7,500 and 17,500 words]
  • A. workLengthRequirement
    Indicates that there is a specified minimum or exact duration of work required for something (e.g., a job, task, or role).
  • B. properLengthMeasuredIn
    Indicates that the proper (intrinsic or rest-frame) length of an entity is expressed using a specified unit of measurement.
  • C. length
    Indicates a measurement relationship where a value specifies how long something is from one end to the other.
  • D. minimumDistanceRequirement
    Indicates that there is a required minimum distance that must be maintained between the related entities.
  • E. hasMinimumLength chosen
    Indicates that the length of an entity (such as a sequence, string, or collection) is greater than or equal to a specified minimum value.
  • 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_69c6880fd5808190be684854081e27dd completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d327e37081909d576e6eff9eec97 completed March 27, 2026, 6:57 p.m.
PD Predicate disambiguation batch_69c6d09227108190b253b91967831a85 completed March 27, 2026, 6:46 p.m.
Created at: March 27, 2026, 2:12 p.m.