Triple

T4564473
Position Surface form Disambiguated ID Type / Status
Subject Bandung railway station E121875 entity
Predicate hasIATAStationCode P2569 FINISHED
Object BDO
BDO is the IATA station code for Bandung Railway Station, a major rail transport hub in Bandung, Indonesia.
 E452725 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: BDO | Statement: [Bandung railway station, hasIATAStationCode, BDO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BDO
Context triple: [Bandung railway station, hasIATAStationCode, BDO]
  • A. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • B. BHA
    BHA is the governing and regulatory body for horseracing in Great Britain, overseeing the sport’s rules, integrity, and welfare standards.
  • C. BOAD
    BOAD is a regional financial institution that provides development financing and supports economic integration among West African Economic and Monetary Union (WAEMU) member states.
  • D. BUD
    BUD is the IATA airport code for Budapest Ferenc Liszt International Airport, the main international gateway to Hungary’s capital city.
  • E. BOA
    BOA is the abbreviation commonly used for the British Olympic Association, the National Olympic Committee responsible for Great Britain and Northern Ireland’s participation in the Olympic Games.
  • 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: BDO
Triple: [Bandung railway station, hasIATAStationCode, BDO]
Generated description
BDO is the IATA station code for Bandung Railway Station, a major rail transport hub in Bandung, Indonesia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BDO
Target entity description: BDO is the IATA station code for Bandung Railway Station, a major rail transport hub in Bandung, Indonesia.
  • A. BdM
    BdM is the central bank of Mexico, responsible for maintaining the country’s monetary stability and issuing its currency.
  • B. BHA
    BHA is the governing and regulatory body for horseracing in Great Britain, overseeing the sport’s rules, integrity, and welfare standards.
  • C. BOAD
    BOAD is a regional financial institution that provides development financing and supports economic integration among West African Economic and Monetary Union (WAEMU) member states.
  • D. BUD
    BUD is the IATA airport code for Budapest Ferenc Liszt International Airport, the main international gateway to Hungary’s capital city.
  • E. BOA
    BOA is the abbreviation commonly used for the British Olympic Association, the National Olympic Committee responsible for Great Britain and Northern Ireland’s participation in the Olympic Games.
  • 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_69bd463f156881908a99aca69c5721ac completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd589b439c81908da9d19433310bcd completed March 20, 2026, 2:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdc5a8ea5481908a652290e9df911f completed March 20, 2026, 10:09 p.m.
NEDg Description generation batch_69bdc93a17548190b7ee841b25f7ad13 completed March 20, 2026, 10:24 p.m.
NED2 Entity disambiguation (via description) batch_69bdc9b4f9ac8190ae15c6445748a66e completed March 20, 2026, 10:27 p.m.
Created at: March 20, 2026, 1:09 p.m.