Triple

T38569445
Position Surface form Disambiguated ID Type / Status
Subject Luzhou Laojiao E929222 entity
Predicate usesFermentationCellars P45100 FINISHED
Object mud pits 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: mud pits | Statement: [Luzhou Laojiao, usesFermentationCellars, mud pits]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: usesFermentationCellars
Context triple: [Luzhou Laojiao, usesFermentationCellars, mud pits]
  • A. usesBottleFermentation
    Indicates that a process or product involves carrying out fermentation inside a sealed bottle as part of its production.
  • B. hasCellars chosen
    Indicates that one entity possesses or contains one or more cellars associated with it.
  • C. hasWinemakingFacility
    Indicates that an entity possesses or is associated with a facility where winemaking activities are carried out.
  • D. mustBeFermentedBy
    Indicates that one entity is required to undergo a fermentation process carried out by another specified entity.
  • E. fermentationCapability
    Indicates the ability of an entity to carry out or support fermentation as a metabolic or biochemical process.
  • 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_69f76ebd2248819083978362d81fa35e completed May 3, 2026, 3:50 p.m.
NER Named-entity recognition batch_69fcdaa36f90819093f8661969990c7d completed May 7, 2026, 6:32 p.m.
PD Predicate disambiguation batch_69fcd8fefc588190b063d7ea1ec87b07 completed May 7, 2026, 6:25 p.m.
Created at: May 3, 2026, 4:32 p.m.