Triple

T22192298
Position Surface form Disambiguated ID Type / Status
Subject Midmer-Losh pipe organ E548458 entity
Predicate hasRanks P146785 FINISHED
Object over 330 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: over 330 | Statement: [Midmer-Losh pipe organ, hasRanks, over 330]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasRanks
Context triple: [Midmer-Losh pipe organ, hasRanks, over 330]
  • A. hasRankLevels
    Indicates that an entity is associated with one or more hierarchical rank levels within a ranking or grading system.
  • B. hasRankCategory
    Indicates that an entity is assigned to a particular rank-based classification or level within an ordered hierarchy.
  • C. hasRankVariant
    Indicates that one entity is an alternative or variant form of another entity’s rank or hierarchical level.
  • D. hasRankingUnit
    Indicates that one entity is associated with a specific unit or scale used to express its ranking or ordered position.
  • E. hasRankingCategory
    Indicates that an entity is associated with a particular ranking category or tier within an ordered classification system.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12ae49ec881908fa42446b19e3f2d completed April 28, 2026, 9:47 p.m.
PD Predicate disambiguation batch_69e71b48576c8190a8e93738fd9cfda5 completed April 21, 2026, 6:38 a.m.
PDg Predicate description generation batch_69e7222e74248190a2d3671049f117f2 completed April 21, 2026, 7:07 a.m.
Created at: April 16, 2026, 8:35 p.m.