Triple

T4564472
Position Surface form Disambiguated ID Type / Status
Subject Bandung railway station E121875 entity
Predicate hasStationCode P1289 FINISHED
Object BD
BD is the station code used to identify Bandung railway station in Indonesia’s rail network.
 E452724 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: BD | Statement: [Bandung railway station, hasStationCode, BD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BD
Context triple: [Bandung railway station, hasStationCode, BD]
  • A. BD
    BD is the UK postcode area covering Bradford and surrounding parts of West Yorkshire.
  • B. BD
    BD is the currency symbol used to denote the Bahraini dinar, the official monetary unit of Bahrain.
  • C. .bd
    .bd is the country code top-level domain (ccTLD) assigned to Bangladesh for use in internet addresses.
  • D. BD+
    BD+ is an additional digital rights management and content protection system used on Blu-ray Discs to prevent unauthorized copying and tampering.
  • E. BM
    BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
  • 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: BD
Triple: [Bandung railway station, hasStationCode, BD]
Generated description
BD is the station code used to identify Bandung railway station in Indonesia’s rail network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BD
Target entity description: BD is the station code used to identify Bandung railway station in Indonesia’s rail network.
  • A. BD
    BD is the UK postcode area covering Bradford and surrounding parts of West Yorkshire.
  • B. BD
    BD is the currency symbol used to denote the Bahraini dinar, the official monetary unit of Bahrain.
  • C. .bd
    .bd is the country code top-level domain (ccTLD) assigned to Bangladesh for use in internet addresses.
  • D. BD+
    BD+ is an additional digital rights management and content protection system used on Blu-ray Discs to prevent unauthorized copying and tampering.
  • E. BM
    BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
  • 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.