Triple

T4591183
Position Surface form Disambiguated ID Type / Status
Subject Cornelis E103491 entity
Predicate shortForm P43 FINISHED
Object Cor
Cor is a common Dutch diminutive or short form of the given name Cornelis.
 E454740 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: Cor | Statement: [Cornelis, shortForm, Cor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Cor
Context triple: [Cornelis, shortForm, Cor]
  • A. COR
    COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
  • B. Coll
    Coll is a small, sparsely populated island in the Inner Hebrides of Scotland, known for its sandy beaches, dark skies, and rich wildlife.
  • C. CON
    CON is the stock ticker symbol for Continental AG, a major German automotive parts manufacturer and tire producer.
  • D. Cos
    Cos is a Greek island in the southeastern Aegean Sea that flourished as an important cultural and artistic hub during the Hellenistic period.
  • E. COM
    COM is the commonly used abbreviation for the College of Communication, an academic unit focused on media, journalism, and related communication disciplines.
  • 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: Cor
Triple: [Cornelis, shortForm, Cor]
Generated description
Cor is a common Dutch diminutive or short form of the given name Cornelis.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Cor
Target entity description: Cor is a common Dutch diminutive or short form of the given name Cornelis.
  • A. COR
    COR is the IATA airport code for Ingeniero Aeronáutico Ambrosio L.V. Taravella International Airport serving Córdoba, Argentina.
  • B. Coll
    Coll is a small, sparsely populated island in the Inner Hebrides of Scotland, known for its sandy beaches, dark skies, and rich wildlife.
  • C. CON
    CON is the stock ticker symbol for Continental AG, a major German automotive parts manufacturer and tire producer.
  • D. Cos
    Cos is a Greek island in the southeastern Aegean Sea that flourished as an important cultural and artistic hub during the Hellenistic period.
  • E. COM
    COM is the commonly used abbreviation for the College of Communication, an academic unit focused on media, journalism, and related communication disciplines.
  • 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_69bd43dccaf08190aa89e9991a289719 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5923c0c88190952137d448d474cf completed March 20, 2026, 2:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69bde0cdc7e8819088758c1d6d8e866d completed March 21, 2026, 12:05 a.m.
NEDg Description generation batch_69bde21999688190afc48da7fa2cd869 completed March 21, 2026, 12:11 a.m.
NED2 Entity disambiguation (via description) batch_69bde283e1988190bfa3545d2a362294 completed March 21, 2026, 12:12 a.m.
Created at: March 20, 2026, 1:11 p.m.