Triple

T8100167
Position Surface form Disambiguated ID Type / Status
Subject The Church at Auvers E189087 entity
Predicate hasForegroundElement P80461 FINISHED
Object pathways 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: pathways | Statement: [The Church at Auvers, hasForegroundElement, pathways]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasForegroundElement
Context triple: [The Church at Auvers, hasForegroundElement, pathways]
  • A. hasPrimaryFocus
    Indicates that something is the main subject, concern, or area of attention for an entity or activity.
  • B. hasGlobalFocus
    Indicates that something is oriented toward, concerned with, or applicable to worldwide or international scope rather than a local or regional one.
  • C. hasProgramFocus
    Indicates that an entity (such as a program or initiative) is oriented around or primarily concerned with a particular thematic area, topic, or objective.
  • D. hasAccessibilityFocus
    Indicates that a user interface element is currently the primary target of accessibility tools, such as screen readers or keyboard navigation, receiving focused attention for interaction.
  • E. hasActingFocus
    Indicates that an entity is the primary performer or focal agent carrying out an action in a given context.
  • 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_69ca82b886d88190a9cba0d5a4a27521 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb42ba9af88190b6310d799818e3d5 completed March 31, 2026, 3:42 a.m.
PD Predicate disambiguation batch_69cb04a14cd88190a79ed26cbeec1c33 completed March 30, 2026, 11:17 p.m.
PDg Predicate description generation batch_69cb14be17208190bb51c3dfcb613f20 completed March 31, 2026, 12:26 a.m.
Created at: March 30, 2026, 5:31 p.m.