Triple

T19149682
Position Surface form Disambiguated ID Type / Status
Subject Lock CS21 E468770 entity
Predicate isNumberedLock P73976 FINISHED
Object CS21
CS21 is a designated lock, likely part of a numbered lock system used to control access or passage in a secured or regulated environment.
E1361310 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: CS21 | Statement: [Lock CS21, isNumberedLock, CS21]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CS21
Context triple: [Lock CS21, isNumberedLock, CS21]
  • A. CS100
    CS100 is the original Bombardier CSeries narrow-body jet model that was later rebranded as the Airbus A220-100.
  • B. CS300
    The CS300, originally developed by Bombardier as part of the CSeries family, is a narrow-body commercial jet that was later rebranded as the Airbus A220-300 after Airbus acquired the program.
  • C. CS4
    CS4 is a specific lock identified by the designation "CS4," likely used as a unique identifier within a locking or access-control system.
  • D. CS30
    CS30 is a designated lock, likely part of a numbered locking or security system identified by the code "CS30."
  • E. CS5
    CS5 is a specific lock identified by the designation "CS5," likely used within a numbered locking or access-control system.
  • 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: CS21
Triple: [Lock CS21, isNumberedLock, CS21]
Generated description
CS21 is a designated lock, likely part of a numbered lock system used to control access or passage in a secured or regulated environment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CS21
Target entity description: CS21 is a designated lock, likely part of a numbered lock system used to control access or passage in a secured or regulated environment.
  • A. CS100
    CS100 is the original Bombardier CSeries narrow-body jet model that was later rebranded as the Airbus A220-100.
  • B. CS300
    The CS300, originally developed by Bombardier as part of the CSeries family, is a narrow-body commercial jet that was later rebranded as the Airbus A220-300 after Airbus acquired the program.
  • C. CS4
    CS4 is a specific lock identified by the designation "CS4," likely used as a unique identifier within a locking or access-control system.
  • D. CS30
    CS30 is a designated lock, likely part of a numbered locking or security system identified by the code "CS30."
  • E. CS5
    CS5 is a specific lock identified by the designation "CS5," likely used within a numbered locking or access-control system.
  • 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_69d8dd084ff48190ac0f8c46ee722629 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e97c42348190875a2f5b5bc0b99e completed April 20, 2026, 8:53 a.m.
NED1 Entity disambiguation (via context triple) batch_6a06f25291f08190a7a337d0a51f380c completed May 15, 2026, 10:15 a.m.
NEDg Description generation batch_6a06f3864b848190bcc76953e1a261f3 completed May 15, 2026, 10:20 a.m.
NED2 Entity disambiguation (via description) batch_6a06f4199a588190943d3d45536a228c completed May 15, 2026, 10:23 a.m.
Created at: April 10, 2026, 12:06 p.m.