Triple

T31351101
Position Surface form Disambiguated ID Type / Status
Subject Alpha Mike Foxtrot: Rare Tracks 1994–2014 E799591 entity
Predicate chronologicallyCoversYearsTo P32028 FINISHED
Object 2014 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: 2014 | Statement: [Alpha Mike Foxtrot: Rare Tracks 1994–2014, chronologicallyCoversYearsTo, 2014]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: chronologicallyCoversYearsTo
Context triple: [Alpha Mike Foxtrot: Rare Tracks 1994–2014, chronologicallyCoversYearsTo, 2014]
  • A. chronologicallyCovers chosen
    Indicates that one time period, event, or sequence extends over and includes the entire chronological span of another.
  • B. coversYearsTo
    Indicates a temporal relationship where one entity spans, includes, or extends up to a specified year or range of years represented by the other entity.
  • C. chronologicalRange
    Indicates the temporal span or period over which something occurs, is valid, or is relevant.
  • D. chronologyOf
    Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
  • E. chronologyIncludes
    Indicates that a broader chronological sequence or timeline encompasses a specific time span, event, or period as part of it.
  • 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_69f224e51614819083141459a080e97c completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69fd2a215d6c8190a1a428ccaee603f1 completed May 8, 2026, 12:11 a.m.
PD Predicate disambiguation batch_69fd28ef19688190bb8370f2812a43e7 completed May 8, 2026, 12:06 a.m.
Created at: April 29, 2026, 9:17 p.m.