Triple

T3603972
Position Surface form Disambiguated ID Type / Status
Subject Womb chair for Knoll E76324 entity
Predicate comfortCharacteristic P31975 FINISHED
Object supportive reclined posture 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: supportive reclined posture | Statement: [Womb chair for Knoll, comfortCharacteristic, supportive reclined posture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: comfortCharacteristic
Context triple: [Womb chair for Knoll, comfortCharacteristic, supportive reclined posture]
  • A. relativeComfort
    Indicates a comparative relationship where one entity is judged to be more or less comfortable than another under given conditions.
  • B. designedForComfort chosen
    Indicates that something has been intentionally created or configured to enhance physical or psychological ease and reduce discomfort.
  • C. coatCharacteristic
    Indicates that one entity has a particular property, feature, or quality that characterizes its outer covering or surface.
  • D. legCharacteristic
    Indicates a characteristic, property, or attribute that specifically pertains to the legs of an entity.
  • E. privacyCharacteristic
    Indicates the specific privacy-related property or feature that characterizes how information is handled, protected, or exposed in a given context.
  • 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_69ad85d93dcc819094fba90cf70f4996 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc1e07bc481908d9fce18d36d8e0d completed March 8, 2026, 6:37 p.m.
PD Predicate disambiguation batch_69adb83d8b1c8190b3bddbc5dc995a87 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:22 p.m.