Triple

T10792789
Position Surface form Disambiguated ID Type / Status
Subject Baker Street station E254622 entity
Predicate railCode P18202 FINISHED
Object BAK
BAK is the National Rail station code used to identify Baker Street station in London’s rail network.
 E885416 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: BAK | Statement: [Baker Street station, railCode, BAK]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BAK
Context triple: [Baker Street station, railCode, BAK]
  • A. BAKIZA
    BAKIZA is the official Swahili language council of Zanzibar responsible for promoting, standardizing, and developing Kiswahili in the region.
  • B. Bakar
    Bakar is a historic coastal town and port on the Adriatic Sea in western Croatia.
  • C. Bakish
    Bakish is the surname of Bob Bakish, an American media executive best known as the former president and CEO of Paramount Global (formerly ViacomCBS).
  • D. Bako
    Bako is the given name of Bako Sahakyan, a politician known for serving as the president of the self-proclaimed Republic of Artsakh (Nagorno-Karabakh).
  • E. BEK
    BEK is the IATA airport code for Bareilly Airport, a domestic airport serving the city of Bareilly in Uttar Pradesh, India.
  • 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: BAK
Triple: [Baker Street station, railCode, BAK]
Generated description
BAK is the National Rail station code used to identify Baker Street station in London’s rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BAK
Target entity description: BAK is the National Rail station code used to identify Baker Street station in London’s rail network.
  • A. BAKIZA
    BAKIZA is the official Swahili language council of Zanzibar responsible for promoting, standardizing, and developing Kiswahili in the region.
  • B. Bakar
    Bakar is a historic coastal town and port on the Adriatic Sea in western Croatia.
  • C. Bakish
    Bakish is the surname of Bob Bakish, an American media executive best known as the former president and CEO of Paramount Global (formerly ViacomCBS).
  • D. Bako
    Bako is the given name of Bako Sahakyan, a politician known for serving as the president of the self-proclaimed Republic of Artsakh (Nagorno-Karabakh).
  • E. BEK
    BEK is the IATA airport code for Bareilly Airport, a domestic airport serving the city of Bareilly in Uttar Pradesh, India.
  • 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_69d6aa609f008190a294200aefcb7bd5 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d732f7ad408190af4727dd9d459498 completed April 9, 2026, 5:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69de564748ac8190beaaea44bb2d95ed completed April 14, 2026, 2:59 p.m.
NEDg Description generation batch_69de5eae7ab88190a0c512cfe61e3458 completed April 14, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69de60907e1081908405b6d71adbd388 completed April 14, 2026, 3:43 p.m.
Created at: April 8, 2026, 9:17 p.m.