Triple

T12804603
Position Surface form Disambiguated ID Type / Status
Subject Bullewijk metro station E306110 entity
Predicate hasStationCode P1289 FINISHED
Object BUL
BUL is the station code for Bullewijk, a metro station in Amsterdam’s public transportation network.
E1004631 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: BUL | Statement: [Bullewijk metro station, hasStationCode, BUL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BUL
Context triple: [Bullewijk metro station, hasStationCode, BUL]
  • A. BUL
    BUL is the three-letter International Olympic Committee country code representing Bulgaria in Olympic events and records.
  • B. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • C. BUPL
    BUPL is a Danish trade union representing early childhood educators and pedagogical staff.
  • D. BL
    BL is the vehicle registration code used for the city of Banja Luka in Bosnia and Herzegovina.
  • E. BL
    BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
  • 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: BUL
Triple: [Bullewijk metro station, hasStationCode, BUL]
Generated description
BUL is the station code for Bullewijk, a metro station in Amsterdam’s public transportation network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: BUL
Target entity description: BUL is the station code for Bullewijk, a metro station in Amsterdam’s public transportation network.
  • A. BUL
    BUL is the three-letter International Olympic Committee country code representing Bulgaria in Olympic events and records.
  • B. BOL
    BOL is the three-letter ISO 3166-1 alpha-3 country code assigned to Bolivia.
  • C. BUPL
    BUPL is a Danish trade union representing early childhood educators and pedagogical staff.
  • D. BL
    BL is the vehicle registration code used for the city of Banja Luka in Bosnia and Herzegovina.
  • E. BL
    BL is the vehicle registration code used on license plates for the Swiss canton of Basel-Landschaft.
  • 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_69d7bdf366888190a8cccb982606889c completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d96e7e3be48190ba9159c9f1ac2ccd completed April 10, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f68ec463f08190822e5235362cf584 completed May 2, 2026, 11:54 p.m.
NEDg Description generation batch_69f6908cb8ec8190855b217c13a51f16 completed May 3, 2026, 12:02 a.m.
NED2 Entity disambiguation (via description) batch_69f6917688508190ae5a64494eaadce7 completed May 3, 2026, 12:06 a.m.
Created at: April 9, 2026, 5:30 p.m.