Triple

T21751075
Position Surface form Disambiguated ID Type / Status
Subject Liber Usualis E536912 entity
Predicate hasAbbreviation P43 FINISHED
Object LU
LU is the standard abbreviation for the Liber Usualis, a widely used compendium of Gregorian chant for the Roman Catholic liturgy.
E1499870 NE FINISHED

How this triple was built (4 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: LU | Statement: [Liber Usualis, hasAbbreviation, LU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: LU
Context triple: [Liber Usualis, hasAbbreviation, LU]
  • A. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • B. LU
    LU is the vehicle registration code for the German city of Ludwigshafen am Rhein in the state of Rhineland-Palatinate.
  • C. LU
    LU is the official vehicle registration code used on license plates for the Swiss canton of Lucerne.
  • D. LU
    LU is the commonly used abbreviation for the University of Latvia, a major public research university in Riga.
  • E. LU
    LU is the IATA airport code assigned to LAN Express, a regional airline operating within the LATAM Airlines Group in Chile.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: LU
Triple: [Liber Usualis, hasAbbreviation, LU]
Generated description
LU is the standard abbreviation for the Liber Usualis, a widely used compendium of Gregorian chant for the Roman Catholic liturgy.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: LU
Target entity description: LU is the standard abbreviation for the Liber Usualis, a widely used compendium of Gregorian chant for the Roman Catholic liturgy.
  • A. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • B. LU
    LU is the commonly used abbreviation for the University of Latvia, a major public research university in Riga.
  • C. LU
    LU is the vehicle registration code for the German city of Ludwigshafen am Rhein in the state of Rhineland-Palatinate.
  • D. LU
    LU is the official vehicle registration code used on license plates for the Swiss canton of Lucerne.
  • E. LU
    LU is the IATA airport code assigned to LAN Express, a regional airline operating within the LATAM Airlines Group in Chile.
  • F. None of above. chosen

Provenance (5 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_69e0c46eab808190b848242d63a17c47 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69f01d8a6d4881908cc69e7247cce3a5 completed April 28, 2026, 2:38 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0a2ee2047c81908a22e3d529a627dc completed May 17, 2026, 9:10 p.m.
NEDg Description generation batch_6a0a3027438881909da196846ab29128 completed May 17, 2026, 9:16 p.m.
NED2 Entity disambiguation (via description) batch_6a0a30ded0f081909589e57a4cc030fd completed May 17, 2026, 9:19 p.m.
Created at: April 16, 2026, 6:50 p.m.