Triple

T2119320
Position Surface form Disambiguated ID Type / Status
Subject Norwich railway station E43880 entity
Predicate hasIATAcode P2569 FINISHED
Object XNM
XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
 E234085 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: XNM | Statement: [Norwich railway station, hasIATAcode, XNM]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: XNM
Context triple: [Norwich railway station, hasIATAcode, XNM]
  • A. Xan
    Xan is a short, informal diminutive of the given name Xander.
  • B. XCD
    XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
  • C. Xelb
    Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
  • D. XHP
    XHP is the IATA station code assigned to Paris's Gare de l'Est railway station.
  • E. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • 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: XNM
Triple: [Norwich railway station, hasIATAcode, XNM]
Generated description
XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: XNM
Target entity description: XNM is the IATA airport-style code assigned to Norwich railway station in Norwich, England, for use in integrated transport and ticketing systems.
  • A. Xan
    Xan is a short, informal diminutive of the given name Xander.
  • B. XCD
    XCD is the ISO 4217 currency code for the Eastern Caribbean dollar, the official monetary unit used by several Eastern Caribbean nations.
  • C. Xelb
    Xelb is the former Arabic name for the Portuguese city of Silves, a historically significant town in the Algarve region.
  • D. XHP
    XHP is the IATA station code assigned to Paris's Gare de l'Est railway station.
  • E. l’X
    l’X is the traditional nickname of École Polytechnique, France’s elite engineering grande école renowned for its rigorous scientific education and prestigious alumni.
  • 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_69a88717cfe48190b7ecdd68c824848a completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb32efb48190bcb99f30787a3a55 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae307b08148190aa201ac038ce9944 completed March 9, 2026, 2:29 a.m.
NEDg Description generation batch_69ae3106488c8190a044d843a10f531a completed March 9, 2026, 2:31 a.m.
NED2 Entity disambiguation (via description) batch_69ae31889bc0819092810ade1961d10e completed March 9, 2026, 2:33 a.m.
Created at: March 4, 2026, 7:44 p.m.