Triple

T22448267
Position Surface form Disambiguated ID Type / Status
Subject From Our Own Correspondent E554919 entity
Predicate hasAbbreviation P43 FINISHED
Object FOOC
FOOC is the commonly used abbreviation for "From Our Own Correspondent," a long-running BBC radio programme featuring in-depth foreign reportage and personal dispatches from journalists around the world.
 E1536673 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: FOOC | Statement: [From Our Own Correspondent, hasAbbreviation, FOOC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FOOC
Context triple: [From Our Own Correspondent, hasAbbreviation, FOOC]
  • A. FOC
    FOC is the IATA airport code for Fuzhou Changle International Airport, the main airport serving Fuzhou in Fujian Province, China.
  • B. Foor
    Foor is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • C. FO
    FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
  • D. FO
    FO is the ISO 3166-1 alpha-2 country code for the Faroe Islands, a self-governing archipelago within the Kingdom of Denmark.
  • E. FOK
    FOK is the IATA airport code for Francis S. Gabreski Airport, a public and military airfield in Suffolk County, New York.
  • 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: FOOC
Triple: [From Our Own Correspondent, hasAbbreviation, FOOC]
Generated description
FOOC is the commonly used abbreviation for "From Our Own Correspondent," a long-running BBC radio programme featuring in-depth foreign reportage and personal dispatches from journalists around the world.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FOOC
Target entity description: FOOC is the commonly used abbreviation for "From Our Own Correspondent," a long-running BBC radio programme featuring in-depth foreign reportage and personal dispatches from journalists around the world.
  • A. FOC
    FOC is the IATA airport code for Fuzhou Changle International Airport, the main airport serving Fuzhou in Fujian Province, China.
  • B. Foor
    Foor is an alternative name for the Fur language spoken by the Fur people of western Sudan.
  • C. FO
    FO is the IATA airline designator assigned to Flybondi, a low-cost carrier based in Argentina.
  • D. FO
    FO is the ISO 3166-1 alpha-2 country code for the Faroe Islands, a self-governing archipelago within the Kingdom of Denmark.
  • E. FOK
    FOK is the IATA airport code for Francis S. Gabreski Airport, a public and military airfield in Suffolk County, New York.
  • 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_69e11e5113208190ab58c6b595f9d1d0 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15b4a20f8819097f471084e97e099 completed April 29, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b0c7640fc8190a2dd1643a7c2a5b0 completed May 18, 2026, 12:56 p.m.
NEDg Description generation batch_6a0b0cd3f7bc8190bdc1e241ea1c642f completed May 18, 2026, 12:57 p.m.
NED2 Entity disambiguation (via description) batch_6a0b0d40e0c8819083a430e30dba1848 completed May 18, 2026, 12:59 p.m.
Created at: April 16, 2026, 8:48 p.m.