Triple

T12194970
Position Surface form Disambiguated ID Type / Status
Subject Brookwood railway station E290563 entity
Predicate hasStationCode P1289 FINISHED
Object BKO
BKO is the National Rail station code for Brookwood railway station in Surrey, England.
 E972218 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: BKO | Statement: [Brookwood railway station, hasStationCode, BKO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BKO
Context triple: [Brookwood railway station, hasStationCode, BKO]
  • A. BKO
    BKO is the IATA airport code for Modibo Keita International Airport, the main international gateway serving Bamako, the capital of Mali.
  • B. BKR
    BKR was the abbreviated name of the People's Security Agency, an early post-World War II Indonesian security and defense organization.
  • C. BKR
    BKR is the postal code prefix used for addresses in the town of Birkirkara in Malta.
  • D. BKM
    BKM is the abbreviated name for Germany’s Federal Government Commissioner for Culture and the Media, the authority responsible for national cultural policy and media affairs.
  • E. BUK
    BUK is a major Nigerian federal university located in Kano, known for its wide range of academic programs and research activities.
  • 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: BKO
Triple: [Brookwood railway station, hasStationCode, BKO]
Generated description
BKO is the National Rail station code for Brookwood railway station in Surrey, England.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BKO
Target entity description: BKO is the National Rail station code for Brookwood railway station in Surrey, England.
  • A. BKO
    BKO is the IATA airport code for Modibo Keita International Airport, the main international gateway serving Bamako, the capital of Mali.
  • B. BKR
    BKR was the abbreviated name of the People's Security Agency, an early post-World War II Indonesian security and defense organization.
  • C. BKR
    BKR is the postal code prefix used for addresses in the town of Birkirkara in Malta.
  • D. BKM
    BKM is the abbreviated name for Germany’s Federal Government Commissioner for Culture and the Media, the authority responsible for national cultural policy and media affairs.
  • E. BUK
    BUK is a major Nigerian federal university located in Kano, known for its wide range of academic programs and research activities.
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91c55a5a881909c0eea2d83c00f49 completed April 10, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8f31508190972d282b5a8816df completed May 2, 2026, 2:30 p.m.
NEDg Description generation batch_69f618cab45481909d717c7f656924f2 completed May 2, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69f61974e97081908d904cacd86c03c1 completed May 2, 2026, 3:34 p.m.
Created at: April 8, 2026, 9:50 p.m.