Triple

T22387053
Position Surface form Disambiguated ID Type / Status
Subject Zope Component Architecture E553421 entity
Predicate hasAbbreviation P43 FINISHED
Object ZCA
ZCA is a component-based software architecture framework from the Zope ecosystem that supports flexible, modular, and reusable application design in Python.
 E1533866 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: ZCA | Statement: [Zope Component Architecture, hasAbbreviation, ZCA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZCA
Context triple: [Zope Component Architecture, hasAbbreviation, ZCA]
  • A. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • B. ZACS
    ZACS is a major international cricket stadium located in Chattogram, Bangladesh, known for hosting Test, ODI, and T20 matches.
  • C. AZCA
    AZCA is Madrid’s main financial and business district, known for its cluster of skyscrapers, corporate headquarters, and commercial centers.
  • D. ZC
    ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
  • E. ZFA
    ZFA is a variant of set theory that allows sets with atoms (urelements), often used in constructing permutation models like those of Fraenkel–Mostowski.
  • 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: ZCA
Triple: [Zope Component Architecture, hasAbbreviation, ZCA]
Generated description
ZCA is a component-based software architecture framework from the Zope ecosystem that supports flexible, modular, and reusable application design in Python.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZCA
Target entity description: ZCA is a component-based software architecture framework from the Zope ecosystem that supports flexible, modular, and reusable application design in Python.
  • A. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • B. ZACS
    ZACS is a major international cricket stadium located in Chattogram, Bangladesh, known for hosting Test, ODI, and T20 matches.
  • C. AZCA
    AZCA is Madrid’s main financial and business district, known for its cluster of skyscrapers, corporate headquarters, and commercial centers.
  • D. ZC
    ZC is the governing body responsible for overseeing and developing the sport of cricket in Zimbabwe.
  • E. ZFA
    ZFA is a variant of set theory that allows sets with atoms (urelements), often used in constructing permutation models like those of Fraenkel–Mostowski.
  • 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_69e11e4cf87c8190a1ff474daec326b7 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f158304bcc81908c4c5db09a246bcc completed April 29, 2026, 1 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0ae9be37488190b09f956dc51ccf01 completed May 18, 2026, 10:28 a.m.
NEDg Description generation batch_6a0aea82afc88190973444a331faa1a2 completed May 18, 2026, 10:31 a.m.
NED2 Entity disambiguation (via description) batch_6a0aeb5137c08190b5b787c85f239a67 completed May 18, 2026, 10:34 a.m.
Created at: April 16, 2026, 8:45 p.m.