Triple

T18197840
Position Surface form Disambiguated ID Type / Status
Subject Library of Congress Rule Interpretations E435706 entity
Predicate alsoKnownAs P39 FINISHED
Object LCRI
LCRI refers to the Library of Congress Rule Interpretations, a set of detailed guidelines that clarify and supplement cataloging rules for libraries.
 E1310813 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: LCRI | Statement: [Library of Congress Rule Interpretations, alsoKnownAs, LCRI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: LCRI
Context triple: [Library of Congress Rule Interpretations, alsoKnownAs, LCRI]
  • A. CLRI
    CLRI (Central Leather Research Institute) is a premier Indian research organization specializing in leather science and technology, located in Adyar, Chennai.
  • B. BCRI
    BCRI is a cultural and educational institution in Birmingham, Alabama that documents and promotes understanding of the American civil rights movement and ongoing struggles for human rights.
  • C. CRI
    CRI is the three-letter ISO 3166-1 alpha-3 country code assigned to Costa Rica.
  • D. CRI
    CRI is a Kubernetes plugin interface that standardizes how container runtimes integrate with the Kubernetes kubelet to manage containers and pods.
  • E. CRUI
    CRUI is the Conference of Italian University Rectors, a national association representing and coordinating the leadership of Italian universities.
  • 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: LCRI
Triple: [Library of Congress Rule Interpretations, alsoKnownAs, LCRI]
Generated description
LCRI refers to the Library of Congress Rule Interpretations, a set of detailed guidelines that clarify and supplement cataloging rules for libraries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: LCRI
Target entity description: LCRI refers to the Library of Congress Rule Interpretations, a set of detailed guidelines that clarify and supplement cataloging rules for libraries.
  • A. CLRI
    CLRI (Central Leather Research Institute) is a premier Indian research organization specializing in leather science and technology, located in Adyar, Chennai.
  • B. BCRI
    BCRI is a cultural and educational institution in Birmingham, Alabama that documents and promotes understanding of the American civil rights movement and ongoing struggles for human rights.
  • C. CRI
    CRI is the three-letter ISO 3166-1 alpha-3 country code assigned to Costa Rica.
  • D. CRI
    CRI is a Kubernetes plugin interface that standardizes how container runtimes integrate with the Kubernetes kubelet to manage containers and pods.
  • E. CRUI
    CRUI is the Conference of Italian University Rectors, a national association representing and coordinating the leadership of Italian universities.
  • 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_69d8b90dba6481908e119eb9aa4ca0cb completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e0d47f1c819082eec59492497797 completed April 19, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03980d47e881909377b7e9ab4a02e6 completed May 12, 2026, 9:13 p.m.
NEDg Description generation batch_6a039945b8948190a7bd1ba03ecb0c60 completed May 12, 2026, 9:19 p.m.
NED2 Entity disambiguation (via description) batch_6a0399f0610881908a3d2f578233347c completed May 12, 2026, 9:21 p.m.
Created at: April 10, 2026, 10:31 a.m.