Triple

T5014107
Position Surface form Disambiguated ID Type / Status
Subject Bern Hauptbahnhof E112698 entity
Predicate hasIATAStationCode P2569 FINISHED
Object ZDJ
ZDJ is the IATA station code for Bern Hauptbahnhof, the main railway station in Bern, Switzerland.
 E487423 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: ZDJ | Statement: [Bern Hauptbahnhof, hasIATAStationCode, ZDJ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZDJ
Context triple: [Bern Hauptbahnhof, hasIATAStationCode, ZDJ]
  • A. ZWD
    ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
  • B. ZWZ
    ZWZ was the Polish underground military organization formed during World War II that later evolved into the Home Army (Armia Krajowa), the main resistance force against Nazi occupation.
  • C. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • D. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • E. ZWL
    ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
  • 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: ZDJ
Triple: [Bern Hauptbahnhof, hasIATAStationCode, ZDJ]
Generated description
ZDJ is the IATA station code for Bern Hauptbahnhof, the main railway station in Bern, Switzerland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZDJ
Target entity description: ZDJ is the IATA station code for Bern Hauptbahnhof, the main railway station in Bern, Switzerland.
  • A. ZWD
    ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
  • B. ZWZ
    ZWZ was the Polish underground military organization formed during World War II that later evolved into the Home Army (Armia Krajowa), the main resistance force against Nazi occupation.
  • C. ZH
    ZH is the official vehicle registration code used for the Swiss canton of Zurich.
  • D. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • E. ZWL
    ZWL is the currency code for the reintroduced Zimbabwean dollar used in Zimbabwe’s monetary system.
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7310c5b08190a5c9ab0f9fe9569f completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69be9271eccc8190bbe9bdb876b41cb8 completed March 21, 2026, 12:43 p.m.
NEDg Description generation batch_69be9653457c819082c4e4436a940f92 completed March 21, 2026, 1 p.m.
NED2 Entity disambiguation (via description) batch_69be96b861d08190b64145f30b3420b5 completed March 21, 2026, 1:01 p.m.
Created at: March 20, 2026, 1:35 p.m.