Triple

T22564188
Position Surface form Disambiguated ID Type / Status
Subject Assen railway station E557898 entity
Predicate hasStationCode P1289 FINISHED
Object ASN
ASN is the station code for Assen railway station in the Netherlands.
 E1542823 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: ASN | Statement: [Assen railway station, hasStationCode, ASN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASN
Context triple: [Assen railway station, hasStationCode, ASN]
  • A. ASN
    ASN is a professional medical society dedicated to advancing the science and practice of nephrology and improving kidney care worldwide.
  • B. ASN
    ASN is the French nuclear safety authority responsible for regulating and overseeing nuclear installations and radiation protection in France.
  • C. ANA
    ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
  • D. ANA
    ANA is a postal code format designation associated with the K9K region.
  • E. ANA
    ANA is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • 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: ASN
Triple: [Assen railway station, hasStationCode, ASN]
Generated description
ASN is the station code for Assen railway station in the Netherlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASN
Target entity description: ASN is the station code for Assen railway station in the Netherlands.
  • A. ASN
    ASN is a professional medical society dedicated to advancing the science and practice of nephrology and improving kidney care worldwide.
  • B. ASN
    ASN is the French nuclear safety authority responsible for regulating and overseeing nuclear installations and radiation protection in France.
  • C. ANA
    ANA is the ICAO airline designator for All Nippon Airways, Japan’s largest airline and a major global carrier.
  • D. ANA
    ANA is a postal code format designation associated with the K9K region.
  • E. ANA
    ANA is a German vehicle registration code assigned to the Erzgebirgskreis district in the state of Saxony.
  • 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_69e11e5ae4ac8190b1f503457603d969 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15fa8d8388190856198547d56dce6 completed April 29, 2026, 1:32 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b2d70f01c81909e861a91dbc74ecc completed May 18, 2026, 3:17 p.m.
NEDg Description generation batch_6a0b364801cc81908204a937c1099728 completed May 18, 2026, 3:54 p.m.
NED2 Entity disambiguation (via description) batch_6a0b37998f888190bb53c2429760321a completed May 18, 2026, 4 p.m.
Created at: April 16, 2026, 8:52 p.m.