Triple

T24827633
Position Surface form Disambiguated ID Type / Status
Subject Germaine Lindsay E621236 entity
Predicate trainLineAttacked P158122 FINISHED
Object Piccadilly line 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: Piccadilly line | Statement: [Germaine Lindsay, trainLineAttacked, Piccadilly line]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: trainLineAttacked
Context triple: [Germaine Lindsay, trainLineAttacked, Piccadilly line]
  • A. hasCheckOnKings
    Indicates that one player’s move currently places the opposing king in check.
  • B. hasKingInvolved
    Indicates that a king is directly involved or participates in the specified event, action, or relationship.
  • C. monarchOfAttackingSide
    Indicates that the subject is the reigning monarch who leads or represents the attacking side in a conflict or confrontation.
  • D. liesOnFlankOf
    Indicates that one entity is positioned along the side or lateral edge of another entity.
  • E. kingIsInviolable
    Indicates that the king is protected from harm, violation, or infringement, often implying legal or moral immunity from certain actions.
  • F. None of above. chosen

Provenance (4 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_69e2fac0c3b881909110e5a56c6fa46f completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f464b4c9b0819085daa00c7c3b8b76 completed May 1, 2026, 8:30 a.m.
PD Predicate disambiguation batch_69f45cf017a88190b4985b11159c907d completed May 1, 2026, 7:57 a.m.
PDg Predicate description generation batch_69f464ae42e88190b3549fdf4e0b425e completed May 1, 2026, 8:30 a.m.
Created at: April 18, 2026, 5:05 a.m.