Triple

T28922548
Position Surface form Disambiguated ID Type / Status
Subject Five Days E733556 entity
Predicate hasEpisodeCountStructure P20979 FINISHED
Object Each episode focuses on a different day of the investigation 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: Each episode focuses on a different day of the investigation | Statement: [Five Days, hasEpisodeCountStructure, Each episode focuses on a different day of the investigation]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasEpisodeCountStructure
Context triple: [Five Days, hasEpisodeCountStructure, Each episode focuses on a different day of the investigation]
  • A. hasEpisodeCountPerSeries
    Indicates a relationship where a series is associated with the number of episodes it contains.
  • B. hasEpisodeStructure chosen
    Indicates that one entity defines or possesses the episodic organization, sequencing, or structural pattern of another (such as a series, season, or narrative work).
  • C. hasEpisodeCountOrder
    Indicates the ordered position of an entity within a sequence based on its episode count.
  • D. hasEpisodeCountInFirstSeries
    Indicates that an entity has a specific number of episodes in its first series or season.
  • E. hasNumberOfEPs
    Indicates the quantity or count of EPs (e.g., episodes, extended plays, or similar units) associated with an entity.
  • 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_69f05b0a5cc0819094828367ae204b70 completed April 28, 2026, 7 a.m.
NER Named-entity recognition batch_69f65b1bcb7c81908259d2d4b644b4e1 completed May 2, 2026, 8:14 p.m.
PD Predicate disambiguation batch_69f6576487e081908d802f1caf59c423 completed May 2, 2026, 7:58 p.m.
Created at: April 28, 2026, 8:21 a.m.