Triple

T16601048
Position Surface form Disambiguated ID Type / Status
Subject CREA E403329 entity
Predicate distinguishedFrom P1612 FINISHED
Object CORDE
CORDE is a scholarly reference resource, likely a corpus or database, used in academic research and distinguished from the CREA linguistic corpus.
E1222669 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: CORDE | Statement: [CREA, distinguishedFrom, CORDE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CORDE
Context triple: [CREA, distinguishedFrom, CORDE]
  • A. Corde
    Corde is the first son of rapper Snoop Dogg, known for his appearances in media related to his father's career and family life.
  • B. Cordy
    Cordy is the given name of C. T. Vivian, a prominent American civil rights leader and close associate of Martin Luther King Jr.
  • C. Cordes
    Cordes is an abandoned ghost town in Arizona’s Bradshaw Mountains that once served as a small mining and stage stop community.
  • D. The Cord
    The Cord is the student-run newspaper serving the Wilfrid Laurier University community with campus news, commentary, and features.
  • E. KORD
    KORD is the ICAO airport code for Chicago O'Hare International Airport, one of the busiest and most significant air transport hubs in the United States.
  • 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: CORDE
Triple: [CREA, distinguishedFrom, CORDE]
Generated description
CORDE is a scholarly reference resource, likely a corpus or database, used in academic research and distinguished from the CREA linguistic corpus.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CORDE
Target entity description: CORDE is a scholarly reference resource, likely a corpus or database, used in academic research and distinguished from the CREA linguistic corpus.
  • A. Corde
    Corde is the first son of rapper Snoop Dogg, known for his appearances in media related to his father's career and family life.
  • B. Cordy
    Cordy is the given name of C. T. Vivian, a prominent American civil rights leader and close associate of Martin Luther King Jr.
  • C. Cordes
    Cordes is an abandoned ghost town in Arizona’s Bradshaw Mountains that once served as a small mining and stage stop community.
  • D. The Cord
    The Cord is the student-run newspaper serving the Wilfrid Laurier University community with campus news, commentary, and features.
  • E. KORD
    KORD is the ICAO airport code for Chicago O'Hare International Airport, one of the busiest and most significant air transport hubs in the United States.
  • 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_69d883880d0c81908b5fcd454e767b60 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35d764574819081366374ca0c9bea completed April 18, 2026, 10:31 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0075a48c088190b6585e42dcd73705 completed May 10, 2026, 12:10 p.m.
NEDg Description generation batch_6a0076468d588190972639d0a22f0e3e completed May 10, 2026, 12:12 p.m.
NED2 Entity disambiguation (via description) batch_6a007728680c819082a3bd7e84edb2b0 completed May 10, 2026, 12:16 p.m.
Created at: April 10, 2026, 5:17 a.m.