Triple

T14264615
Position Surface form Disambiguated ID Type / Status
Subject Canal 13 E353611 entity
Predicate hasSisterChannel P6991 FINISHED
Object 13C
13C is a Chilean television channel associated with Canal 13 that focuses on cultural, educational, and lifestyle programming.
 E1089997 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: 13C | Statement: [Canal 13, hasSisterChannel, 13C]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: 13C
Context triple: [Canal 13, hasSisterChannel, 13C]
  • A. N13
    N13 is a designated national road route identified by the number 13 within a country's highway network.
  • B. CASP13
    CASP13 is the 13th Critical Assessment of protein Structure Prediction experiment, an international community-wide competition that benchmarks computational methods for predicting 3D protein structures.
  • C. C3
    C3 is the route designation for the Tokyo Gaikan Expressway, a major orbital expressway forming part of the ring road system around Tokyo, Japan.
  • D. C-3
    C-3 is one of the main commuter rail lines in the Cercanías Madrid network, connecting central Madrid with several southern suburbs and surrounding municipalities.
  • E. Carbone
    Carbone is a high-end Italian-American restaurant known for its classic New York red-sauce dishes and retro, mid-20th-century ambiance.
  • 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: 13C
Triple: [Canal 13, hasSisterChannel, 13C]
Generated description
13C is a Chilean television channel associated with Canal 13 that focuses on cultural, educational, and lifestyle programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: 13C
Target entity description: 13C is a Chilean television channel associated with Canal 13 that focuses on cultural, educational, and lifestyle programming.
  • A. N13
    N13 is a designated national road route identified by the number 13 within a country's highway network.
  • B. CASP13
    CASP13 is the 13th Critical Assessment of protein Structure Prediction experiment, an international community-wide competition that benchmarks computational methods for predicting 3D protein structures.
  • C. C3
    C3 is the route designation for the Tokyo Gaikan Expressway, a major orbital expressway forming part of the ring road system around Tokyo, Japan.
  • D. C-3
    C-3 is one of the main commuter rail lines in the Cercanías Madrid network, connecting central Madrid with several southern suburbs and surrounding municipalities.
  • E. Carbone
    Carbone is a high-end Italian-American restaurant known for its classic New York red-sauce dishes and retro, mid-20th-century ambiance.
  • 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_69d8278c43e08190824146f4632b89a5 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de6357a8188190ba518a486521052b completed April 14, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd326367348190b4b31b32f4ca5639 completed May 8, 2026, 12:46 a.m.
NEDg Description generation batch_69fd335a496881908689b5769bb677ae completed May 8, 2026, 12:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd3445422c8190a22eaa4bef5fdf76 completed May 8, 2026, 12:54 a.m.
Created at: April 10, 2026, 1:09 a.m.