Triple

T32745838
Position Surface form Disambiguated ID Type / Status
Subject Lincoln E837349 entity
Predicate BlackLabelFocus P18486 FINISHED
Object high-end trims and services 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: high-end trims and services | Statement: [Lincoln, BlackLabelFocus, high-end trims and services]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: BlackLabelFocus
Context triple: [Lincoln, BlackLabelFocus, high-end trims and services]
  • A. focusesOn
    Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
  • B. focusesLight
    Indicates that one entity concentrates or directs light onto a specific area, object, or target.
  • C. brandFocus chosen
    Indicates that a brand primarily concentrates its efforts, messaging, or resources on a particular target, theme, or market segment.
  • D. ownedLabel
    Indicates that a label is possessed or controlled by a particular owner or entity.
  • E. focusesBy
    Indicates that one entity directs its attention, effort, or emphasis toward another entity or specific aspect 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_69f34936e1748190b797e406e4e9293a completed April 30, 2026, 12:21 p.m.
NER Named-entity recognition batch_69f6cd126fcc8190aa1f1f146e45ec0c completed May 3, 2026, 4:20 a.m.
PD Predicate disambiguation batch_69f6cc1470808190b70cdfd7a6395670 completed May 3, 2026, 4:16 a.m.
Created at: May 1, 2026, 1:12 a.m.