Triple

T5573445
Position Surface form Disambiguated ID Type / Status
Subject Basel SBB E146258 entity
Predicate hasIATAcode P2569 FINISHED
Object ZDH
ZDH is the IATA station code for Basel SBB, the main Swiss railway station in Basel that connects major national and international train services.
 E533523 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: ZDH | Statement: [Basel SBB, hasIATAcode, ZDH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ZDH
Context triple: [Basel SBB, hasIATAcode, ZDH]
  • A. ZDJ
    ZDJ is the IATA station code for Bern Hauptbahnhof, the main railway station in Bern, Switzerland.
  • B. ZBH
    ZBH is the stock ticker symbol for Zimmer Biomet Holdings, Inc., a major medical device company specializing in musculoskeletal healthcare products.
  • C. ZWD
    ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
  • D. ZMH
    ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
  • E. ZFD
    ZFD is the National Rail station code used to identify Farringdon railway station in London.
  • 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: ZDH
Triple: [Basel SBB, hasIATAcode, ZDH]
Generated description
ZDH is the IATA station code for Basel SBB, the main Swiss railway station in Basel that connects major national and international train services.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ZDH
Target entity description: ZDH is the IATA station code for Basel SBB, the main Swiss railway station in Basel that connects major national and international train services.
  • A. ZDJ
    ZDJ is the IATA station code for Bern Hauptbahnhof, the main railway station in Bern, Switzerland.
  • B. ZBH
    ZBH is the stock ticker symbol for Zimmer Biomet Holdings, Inc., a major medical device company specializing in musculoskeletal healthcare products.
  • C. ZWD
    ZWD is the former currency code for the Zimbabwean dollar, which was used during periods of extreme hyperinflation before the currency was abandoned.
  • D. ZMH
    ZMH is the three-letter station code used to identify Mansion House Underground station on the London Underground network.
  • E. ZFD
    ZFD is the National Rail station code used to identify Farringdon railway station in London.
  • 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_69c008ffed108190a084602227af6157 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c02052dd0481909aba6863831357eb completed March 22, 2026, 5:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69c02852a6fc8190a543508ab3237f95 completed March 22, 2026, 5:35 p.m.
NEDg Description generation batch_69c0430e51fc819084706f52a815350a completed March 22, 2026, 7:29 p.m.
NED2 Entity disambiguation (via description) batch_69c046e54a20819080eef5179f206314 completed March 22, 2026, 7:45 p.m.
Created at: March 22, 2026, 3:37 p.m.