Triple

T6519498
Position Surface form Disambiguated ID Type / Status
Subject NISO E148344 entity
Predicate hasStandard P1371 FINISHED
Object Z39.7
Z39.7 is a NISO standard that defines a framework of statistical measures and guidelines for assessing and reporting library performance and usage.
 E605016 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: Z39.7 | Statement: [NISO, hasStandard, Z39.7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Z39.7
Context triple: [NISO, hasStandard, Z39.7]
  • A. Z34
    Z34 is the internal chassis code used by Nissan to designate the 370Z sports car generation produced from 2009 onward.
  • B. ZCO
    ZCO is the IATA airport code for La Araucanía International Airport, which serves the Temuco region in southern Chile.
  • C. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • D. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • E. Z
    "Z" is the 2016 solo album by American musician Jim James, known for its eclectic blend of rock, soul, and psychedelic influences.
  • 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: Z39.7
Triple: [NISO, hasStandard, Z39.7]
Generated description
Z39.7 is a NISO standard that defines a framework of statistical measures and guidelines for assessing and reporting library performance and usage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Z39.7
Target entity description: Z39.7 is a NISO standard that defines a framework of statistical measures and guidelines for assessing and reporting library performance and usage.
  • A. Z34
    Z34 is the internal chassis code used by Nissan to designate the 370Z sports car generation produced from 2009 onward.
  • B. ZCO
    ZCO is the IATA airport code for La Araucanía International Airport, which serves the Temuco region in southern Chile.
  • C. ZS
    ZS is the vehicle registration code assigned to cars registered in the Polish city of Szczecin.
  • D. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • E. Z
    Z is the neutral elementary particle known as the Z boson, a carrier of the weak nuclear force in the Standard Model of particle physics.
  • 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_69c687e68e748190baceb9298f32d3ed completed March 27, 2026, 1:36 p.m.
NER Named-entity recognition batch_69c6ac11d0e481908103c4b51de9521e completed March 27, 2026, 4:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c6d51af5308190928c97ceb5d5fa2d completed March 27, 2026, 7:06 p.m.
NEDg Description generation batch_69c6d6d9af148190ad9cd2cc31a70bb7 completed March 27, 2026, 7:13 p.m.
NED2 Entity disambiguation (via description) batch_69c6d98506b88190aae3b4d887744648 completed March 27, 2026, 7:24 p.m.
Created at: March 27, 2026, 1:45 p.m.