Triple

T8688957
Position Surface form Disambiguated ID Type / Status
Subject Armagnac E206235 entity
Predicate minimumAgingForHorsAge P72691 FINISHED
Object 10 years in wood 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: 10 years in wood | Statement: [Armagnac, minimumAgingForHorsAge, 10 years in wood]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: minimumAgingForHorsAge
Context triple: [Armagnac, minimumAgingForHorsAge, 10 years in wood]
  • A. minimumAgingTotal
    Indicates that the relationship captures the smallest possible total amount of aging (or elapsed time) accumulated across the relevant entities or process.
  • B. maximumAgeMa
    Indicates that there is a specified maximum age limit applicable to an entity or relationship.
  • C. minimumAgeMa chosen
    Indicates that there is a specified minimum age requirement associated with an entity, below which the related action, status, or relationship is not permitted.
  • D. setsMinimumAge
    Indicates that an entity establishes the lowest permissible age required for participation, access, or eligibility in relation to another entity or activity.
  • E. maximumAgeRequirement
    Indicates that there is an upper age limit that an entity must not exceed in order for a condition, participation, or eligibility to apply.
  • 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_69ca835481fc819084e33d3bc883bfa6 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc57334b0c8190903a5a1784e74791 completed March 31, 2026, 11:22 p.m.
PD Predicate disambiguation batch_69cc4569f9048190b9c86b4c81103d35 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:33 p.m.