Triple

T13024228
Position Surface form Disambiguated ID Type / Status
Subject Bermondsey Underground station E326258 entity
Predicate stationCode P1289 FINISHED
Object BMZ
BMZ is the station code for Bermondsey Underground station on the Jubilee line of the London Underground.
 E1014955 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: BMZ | Statement: [Bermondsey Underground station, stationCode, BMZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: BMZ
Context triple: [Bermondsey Underground station, stationCode, BMZ]
  • A. BMZ
    BMZ is the German Federal Ministry responsible for the country's development policy and international development cooperation.
  • B. BM
    BM is the post-nominal abbreviation used to denote recipients of the Bravery Medal, an Australian award for acts of courage.
  • C. BM
    BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
  • D. BM
    BM is the vehicle registration code used on license plates for vehicles registered in the Cologne Government Region of Germany.
  • E. BM
    BM is the abbreviated name of Hungary’s Ministry of the Interior, the government body responsible for internal affairs, law enforcement, and public administration.
  • 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: BMZ
Triple: [Bermondsey Underground station, stationCode, BMZ]
Generated description
BMZ is the station code for Bermondsey Underground station on the Jubilee line of the London Underground.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: BMZ
Target entity description: BMZ is the station code for Bermondsey Underground station on the Jubilee line of the London Underground.
  • A. BMZ
    BMZ is the German Federal Ministry responsible for the country's development policy and international development cooperation.
  • B. BM
    BM is the post-nominal abbreviation used to denote recipients of the Bravery Medal, an Australian award for acts of courage.
  • C. BM
    BM is the regional vehicle registration code used on license plates for motor vehicles registered in Pekanbaru, Indonesia.
  • D. BM
    BM is the vehicle registration code used on license plates for vehicles registered in the Cologne Government Region of Germany.
  • E. BM
    BM is the abbreviated name of Hungary’s Ministry of the Interior, the government body responsible for internal affairs, law enforcement, and public administration.
  • 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_69d8076cc45c81908123123f43e69266 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97efac71881908a21d70c3c6ce099 completed April 10, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c11c1f6c8190be1c570a7e44a313 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c20aff008190a1a10ac02ed08726 completed May 3, 2026, 3:33 a.m.
NED2 Entity disambiguation (via description) batch_69f6c2de143c81908164f5df2b92e5c3 completed May 3, 2026, 3:37 a.m.
Created at: April 9, 2026, 8:52 p.m.