Triple

T3610032
Position Surface form Disambiguated ID Type / Status
Subject Chinon E76462 entity
Predicate servingSuggestionRed P49932 FINISHED
Object lightly chilled or at cellar temperature 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: lightly chilled or at cellar temperature | Statement: [Chinon, servingSuggestionRed, lightly chilled or at cellar temperature]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: servingSuggestionRed
Context triple: [Chinon, servingSuggestionRed, lightly chilled or at cellar temperature]
  • A. servedWith
    Indicates that one item is customarily presented, provided, or consumed together with another as an accompaniment or side.
  • B. commendedFor
    Indicates that one entity has expressed praise or approval toward another entity specifically because of a particular action, quality, or achievement.
  • C. alsoServes
    Indicates that an entity, in addition to its primary role or function, provides service or support to another specified entity or group.
  • D. servesUse
    Indicates that one entity is used by or functions to serve the purpose or needs of another entity.
  • E. submitsRecommendationsTo
    Indicates that one entity formally sends or presents recommendations to another entity for consideration or action.
  • 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_69ad85da0ba481908b3b48c69efe2b98 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc22b824c8190a85b36185d4957bb completed March 8, 2026, 6:38 p.m.
PD Predicate disambiguation batch_69adb83d8b1c8190b3bddbc5dc995a87 completed March 8, 2026, 5:56 p.m.
PDg Predicate description generation batch_69adb8e4ba948190a9b777cf7f788b96 completed March 8, 2026, 5:59 p.m.
Created at: March 8, 2026, 3:23 p.m.