Triple

T4132989
Position Surface form Disambiguated ID Type / Status
Subject coat of arms of Lorraine E85082 entity
Predicate orientationOfOrdinary P29149 FINISHED
Object diagonal from dexter chief to sinister base 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: diagonal from dexter chief to sinister base | Statement: [coat of arms of Lorraine, orientationOfOrdinary, diagonal from dexter chief to sinister base]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: orientationOfOrdinary
Context triple: [coat of arms of Lorraine, orientationOfOrdinary, diagonal from dexter chief to sinister base]
  • A. orientationInducedBy
    Indicates that the orientation of one entity is determined or caused by the orientation or configuration of another entity.
  • B. orientation
    Indicates the relative directional alignment or facing of one entity with respect to another or to a reference frame.
  • C. orientationProperty chosen
    Indicates that one entity has a specific spatial or directional orientation in relation to another entity or reference frame.
  • D. orientedParallelTo
    Indicates that one entity is parallel to another with a specified or consistent direction or orientation.
  • E. legOrientation
    Indicates the relative positioning or directional alignment of an entity’s leg(s) with respect to a reference frame or another object.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af03a0f3408190adba7a8513bd3d12 completed March 9, 2026, 5:30 p.m.
PD Predicate disambiguation batch_69af01883b6c8190a482ead589a131a5 completed March 9, 2026, 5:21 p.m.
Created at: March 9, 2026, 3:42 p.m.