Triple

T3582907
Position Surface form Disambiguated ID Type / Status
Subject "Rutherford dust" character in its red wines E75841 entity
Predicate perceivedDuring P3824 FINISHED
Object mid-palate of the wine 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: mid-palate of the wine | Statement: ["Rutherford dust" character in its red wines, perceivedDuring, mid-palate of the wine]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: perceivedDuring
Context triple: ["Rutherford dust" character in its red wines, perceivedDuring, mid-palate of the wine]
  • A. occurredDuring chosen
    Indicates that one event or action took place within the temporal span of another event or time period.
  • B. capturedDuring
    Indicates that one event or state occurred within the temporal span of another, typically representing that something was recorded, seized, or documented while a specific situation or activity was taking place.
  • C. exposedDuring
    Indicates that something becomes visible, accessible, or subject to influence specifically within a given time period, event, or contextual interval.
  • D. hasPerception
    Indicates that one entity is aware of, senses, or recognizes another entity or phenomenon.
  • E. ownedDuring
    Indicates that one entity possessed or held ownership of another entity for some or all of a specified time interval.
  • 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_69ad85d6dc3c8190b491b79b83e25461 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc104846c81908b6fbde7061464b4 completed March 8, 2026, 6:33 p.m.
PD Predicate disambiguation batch_69adb83810c481909c645c08b978edc1 completed March 8, 2026, 5:56 p.m.
Created at: March 8, 2026, 3:21 p.m.