Triple

T527910
Position Surface form Disambiguated ID Type / Status
Subject CBC E10963 entity
Predicate abbreviation P43 FINISHED
Object SRC
SRC is a Canadian French-language television network owned by the Canadian Broadcasting Corporation, serving as its primary public broadcasting service in French.
 E65730 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: SRC | Statement: [CBC, abbreviation, SRC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SRC
Context triple: [CBC, abbreviation, SRC]
  • A. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • B. SP
    SP is the official aircraft registration prefix used to identify airplanes registered in Poland.
  • C. Sk
    Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
  • D. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • E. SAN
    SAN is the three-letter IATA airport code for San Diego International Airport, the primary commercial airport serving the San Diego, California area.
  • 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: SRC
Triple: [CBC, abbreviation, SRC]
Generated description
SRC is a Canadian French-language television network owned by the Canadian Broadcasting Corporation, serving as its primary public broadcasting service in French.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SRC
Target entity description: SRC is a Canadian French-language television network owned by the Canadian Broadcasting Corporation, serving as its primary public broadcasting service in French.
  • A. SV
    SV is the two-letter ISO 3166-1 alpha-2 country code assigned to El Salvador.
  • B. SP
    SP is the official aircraft registration prefix used to identify airplanes registered in Poland.
  • C. Sk
    Sk is the currency symbol that was used to denote the Slovak koruna, the former national currency of Slovakia before adoption of the euro.
  • D. LS
    LS is the IATA airline designator used by the British low-cost carrier Jet2.com.
  • E. SAN
    SAN is the three-letter IATA airport code for San Diego International Airport, the primary commercial airport serving the San Diego, California area.
  • 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_69a2e84b16c4819088d284c47c3a7968 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f1d2851c81908129f7da932ab7b3 completed Feb. 28, 2026, 1:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4b242a1d48190a0a7015d5fc82860 completed March 1, 2026, 9:40 p.m.
NEDg Description generation batch_69a4b39f75048190a5f5f18756f75a81 completed March 1, 2026, 9:46 p.m.
NED2 Entity disambiguation (via description) batch_69a4b42eb7d88190ab013625d75a093b completed March 1, 2026, 9:48 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.