Triple

T38429491
Position Surface form Disambiguated ID Type / Status
Subject Hoovers E903758 entity
Predicate initiallyAllocatedTo P108451 FINISHED
Object London Midland Region 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: London Midland Region | Statement: [Hoovers, initiallyAllocatedTo, London Midland Region]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: initiallyAllocatedTo
Context triple: [Hoovers, initiallyAllocatedTo, London Midland Region]
  • A. allottedTo chosen
    Indicates that something has been assigned or allocated to a particular entity as its designated recipient or user.
  • B. allottedBy
    Indicates that something has been assigned, distributed, or allocated by a particular agent or authority.
  • C. originallyAwardedTo
    Indicates that something (such as a prize, title, or resource) was first granted or assigned to a particular recipient before any later changes or transfers.
  • D. traditionallyAssignedTo
    Indicates that something is customarily or historically designated as the responsibility, role, or domain of a particular entity according to tradition.
  • E. assignedTo
    Indicates that responsibility for a task, item, or role has been designated to a specific 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_69f76e6a2024819081aa04f4932f89d2 completed May 3, 2026, 3:48 p.m.
NER Named-entity recognition batch_69fd6a1c1c4881908090053bc359b181 completed May 8, 2026, 4:44 a.m.
PD Predicate disambiguation batch_69fd696f24d8819091033afacbdaadc5 completed May 8, 2026, 4:41 a.m.
Created at: May 3, 2026, 4:31 p.m.