Triple

T11909114
Position Surface form Disambiguated ID Type / Status
Subject S7 Stock E283347 entity
Predicate replaced P101 FINISHED
Object C Stock
C Stock is a class of corporate shares that typically carries distinct voting rights, dividend preferences, or ownership restrictions compared to other stock classes within the same company.
E952974 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: C Stock | Statement: [S7 Stock, replaced, C Stock]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: C Stock
Context triple: [S7 Stock, replaced, C Stock]
  • A. C
    C is a local service on the New York City Subway that runs along the Eighth Avenue Line in Manhattan and continues through Brooklyn.
  • B. C
    C is the standard scholarly siglum for Codex Ephraemi Rescriptus, a 5th-century Greek biblical manuscript and palimpsest containing portions of the Old and New Testaments.
  • C. C
    C is one of the three central women in Edward Albee’s play "Three Tall Women," representing a younger stage of the protagonist’s life and perspective.
  • D. C
    C is a foundational, general-purpose programming language known for its efficiency, low-level memory access, and influence on many later languages such as C++, Java, and Python.
  • E. C
    C is a light rail service designation used by the Los Angeles Metro system for one of its primary rail lines.
  • 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: C Stock
Triple: [S7 Stock, replaced, C Stock]
Generated description
C Stock is a class of corporate shares that typically carries distinct voting rights, dividend preferences, or ownership restrictions compared to other stock classes within the same company.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: C Stock
Target entity description: C Stock is a class of corporate shares that typically carries distinct voting rights, dividend preferences, or ownership restrictions compared to other stock classes within the same company.
  • A. C
    C is a local service on the New York City Subway that runs along the Eighth Avenue Line in Manhattan and continues through Brooklyn.
  • B. C
    C is the standard scholarly siglum for Codex Ephraemi Rescriptus, a 5th-century Greek biblical manuscript and palimpsest containing portions of the Old and New Testaments.
  • C. C
    C is a foundational, general-purpose programming language known for its efficiency, low-level memory access, and influence on many later languages such as C++, Java, and Python.
  • D. C
    C is a light rail service designation used by the Los Angeles Metro system for one of its primary rail lines.
  • E. C
    C is the New York Stock Exchange ticker symbol for Citigroup Inc., a major global financial services and banking corporation.
  • 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_69d6ab2c07e88190ba13b0d21fd6cf33 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8e5278eb081909a7ecfe38beeeda9 completed April 10, 2026, 11:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69f418543258819083b49a5bbdc520cd completed May 1, 2026, 3:04 a.m.
NEDg Description generation batch_69f41f1d2da0819082f00cf61a6530b6 completed May 1, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f42291f3608190ab079f939d34cf15 completed May 1, 2026, 3:48 a.m.
Created at: April 8, 2026, 9:44 p.m.