Triple

T19062590
Position Surface form Disambiguated ID Type / Status
Subject Lock CS30 E466570 entity
Predicate hasLockNumber P73976 FINISHED
Object CS30
CS30 is a designated lock, likely part of a numbered locking or security system identified by the code "CS30."
E1355709 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: CS30 | Statement: [Lock CS30, hasLockNumber, CS30]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CS30
Context triple: [Lock CS30, hasLockNumber, CS30]
  • A. 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.
  • B. CS4
    CS4 is a specific lock identified by the designation "CS4," likely used as a unique identifier within a locking or access-control system.
  • C. CS100
    CS100 is the original Bombardier CSeries narrow-body jet model that was later rebranded as the Airbus A220-100.
  • D. CSE
    CSE is the abbreviated name for the University of Edinburgh’s College of Science and Engineering, a major academic division focused on scientific and engineering disciplines.
  • E. CSE
    CSE is the commonly used acronym for the Casablanca Stock Exchange, the principal securities market in Morocco.
  • 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: CS30
Triple: [Lock CS30, hasLockNumber, CS30]
Generated description
CS30 is a designated lock, likely part of a numbered locking or security system identified by the code "CS30."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CS30
Target entity description: CS30 is a designated lock, likely part of a numbered locking or security system identified by the code "CS30."
  • A. 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.
  • B. CS4
    CS4 is a specific lock identified by the designation "CS4," likely used as a unique identifier within a locking or access-control system.
  • C. CS100
    CS100 is the original Bombardier CSeries narrow-body jet model that was later rebranded as the Airbus A220-100.
  • D. CSE
    CSE is the abbreviated name for the University of Edinburgh’s College of Science and Engineering, a major academic division focused on scientific and engineering disciplines.
  • E. CSE
    CSE is the commonly used acronym for the Casablanca Stock Exchange, the principal securities market in Morocco.
  • 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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e195ac048190a57b57e585d022d4 completed April 20, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a05c55dec9881908d56c270e538463d completed May 14, 2026, 12:51 p.m.
NEDg Description generation batch_6a05c66f7efc8190859bf4ca53012d1d completed May 14, 2026, 12:56 p.m.
NED2 Entity disambiguation (via description) batch_6a05c6f11fd88190be6fd8c235e3d269 completed May 14, 2026, 12:58 p.m.
Created at: April 10, 2026, 12:03 p.m.