Triple

T6940317
Position Surface form Disambiguated ID Type / Status
Subject Bekasi Station E160656 entity
Predicate hasStationCode P1289 FINISHED
Object BKS
BKS is the station code for Bekasi Station, a major commuter and intercity railway hub in Bekasi, West Java, Indonesia.
 E628698 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: BKS | Statement: [Bekasi Station, hasStationCode, BKS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BKS
Context triple: [Bekasi Station, hasStationCode, BKS]
  • A. BKS
    BKS is the former New York Stock Exchange ticker symbol for Barnes & Noble, the large American bookselling and retail company.
  • B. BK3
    BK3 is a jam band led by Grateful Dead drummer Bill Kreutzmann, known for live improvisational rock performances.
  • C. BSK
    BSK is the National Rail station code for Basingstoke railway station in Hampshire, England.
  • D. BK
    BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
  • E. CBKS
    CBKS is the standard abbreviation used for Carlisle Barracks, a historic U.S. Army installation in Pennsylvania.
  • 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: BKS
Triple: [Bekasi Station, hasStationCode, BKS]
Generated description
BKS is the station code for Bekasi Station, a major commuter and intercity railway hub in Bekasi, West Java, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BKS
Target entity description: BKS is the station code for Bekasi Station, a major commuter and intercity railway hub in Bekasi, West Java, Indonesia.
  • A. BKS
    BKS is the former New York Stock Exchange ticker symbol for Barnes & Noble, the large American bookselling and retail company.
  • B. BK3
    BK3 is a jam band led by Grateful Dead drummer Bill Kreutzmann, known for live improvisational rock performances.
  • C. BSK
    BSK is the National Rail station code for Basingstoke railway station in Hampshire, England.
  • D. BK
    BK is a common abbreviation for Brooklyn, a borough of New York City known for its cultural diversity, arts scene, and historic neighborhoods.
  • E. CBKS
    CBKS is the standard abbreviation used for Carlisle Barracks, a historic U.S. Army installation in Pennsylvania.
  • 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_69c6884f3db4819080ad65da69386206 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6da641ce08190a133c9ba4977755d completed March 27, 2026, 7:28 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7515880948190970cadd7adeda435 completed March 28, 2026, 3:56 a.m.
NEDg Description generation batch_69c7524e3ef48190a78601ca290f133d completed March 28, 2026, 4 a.m.
NED2 Entity disambiguation (via description) batch_69c752dca6e08190a087898d99c015ac completed March 28, 2026, 4:02 a.m.
Created at: March 27, 2026, 2:28 p.m.