Triple

T19457434
Position Surface form Disambiguated ID Type / Status
Subject burczybas E486768 entity
Predicate membranePosition P5132 FINISHED
Object top of tub 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: top of tub | Statement: [burczybas, membranePosition, top of tub]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: membranePosition
Context triple: [burczybas, membranePosition, top of tub]
  • A. segmentPositioning
    Indicates how segments are arranged or ordered relative to one another within a larger structure or sequence.
  • B. initiallyPositionedAs
    Indicates that one entity’s starting or original position is specified relative to another entity or reference frame.
  • C. positionB chosen
    Indicates that one entity occupies or is located at a specific position relative to another entity.
  • D. correctorPlatePosition
    Indicates the spatial placement or alignment of a corrector plate relative to the rest of the system.
  • E. positionOnSubstance
    Indicates that one entity is located on the surface of, or supported by, another entity that is treated as a substance or material.
  • 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_69d8e8d86d608190bd199a98d0297f27 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e633c569a081908b5a71226345a929 completed April 20, 2026, 2:10 p.m.
PD Predicate disambiguation batch_69e4fd7499a4819082bec0be8afba35c completed April 19, 2026, 4:06 p.m.
Created at: April 10, 2026, 1:38 p.m.