Triple

T31530891
Position Surface form Disambiguated ID Type / Status
Subject The Mess E804475 entity
Predicate hasNotableLiveRecordingLocation P45543 FINISHED
Object The Hague NE NERFINISHED

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: The Hague | Statement: [The Mess, hasNotableLiveRecordingLocation, The Hague]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasNotableLiveRecordingLocation
Context triple: [The Mess, hasNotableLiveRecordingLocation, The Hague]
  • A. hasNotableLivePerformancesBy
    Indicates that an entity (such as a work, event, or venue) is associated with notable live performances given by a specified performer or group.
  • B. hasLiveRecordingFrom
    Indicates that a live recording was made of something (e.g., a work, performance, or event) at or from a specified source, venue, or occasion.
  • C. hasNotableLivePerformancesWith
    Indicates that two entities have shared notable live performances together, such as concerts, shows, or events where they appeared or performed jointly.
  • D. hasLivePerformancesRecorded
    Indicates that live performances of an entity (such as a work, event, or artist) have been captured and stored as recordings.
  • E. notableLiveRecording chosen
    Indicates that there exists a particularly significant or well-known live recording associated with the subject.
  • 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_69f348d03ef88190a2b73d7b94b9e02d completed April 30, 2026, 12:19 p.m.
NER Named-entity recognition batch_6a00ab25c5b48190ad07ff508392ef56 completed May 10, 2026, 3:58 p.m.
PD Predicate disambiguation batch_6a00a8a5cfc48190bbe97fb2bbd1b947 completed May 10, 2026, 3:47 p.m.
Created at: April 30, 2026, 10:01 p.m.