Triple

T14114222
Position Surface form Disambiguated ID Type / Status
Subject Faculty of Science of Leiden University E339719 entity
Predicate hasAbbreviation P43 FINISHED
Object FWN
FWN is the Dutch abbreviation for the Faculty of Science at Leiden University, a major academic division focused on scientific research and education.
 E1079632 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: FWN | Statement: [Faculty of Science of Leiden University, hasAbbreviation, FWN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: FWN
Context triple: [Faculty of Science of Leiden University, hasAbbreviation, FWN]
  • A. FWN
    FWN is the standard abbreviation used for the Fort Wayne TinCaps, a Minor League Baseball team based in Fort Wayne, Indiana.
  • B. WFN
    WFN is the three-letter National Rail station code assigned to Watford North railway station in Hertfordshire, England.
  • C. FW
    FW refers to the Free Voters (Freie Wähler), a German political association and party known for its strong local-government focus and presence in Bavarian municipal and regional politics.
  • D. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • E. FW
    FW is the designation used for the series of Formula One racing car chassis developed and raced by the Williams Grand Prix Engineering team.
  • 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: FWN
Triple: [Faculty of Science of Leiden University, hasAbbreviation, FWN]
Generated description
FWN is the Dutch abbreviation for the Faculty of Science at Leiden University, a major academic division focused on scientific research and education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: FWN
Target entity description: FWN is the Dutch abbreviation for the Faculty of Science at Leiden University, a major academic division focused on scientific research and education.
  • A. FWN
    FWN is the standard abbreviation used for the Fort Wayne TinCaps, a Minor League Baseball team based in Fort Wayne, Indiana.
  • B. WFN
    WFN is the three-letter National Rail station code assigned to Watford North railway station in Hertfordshire, England.
  • C. FW
    FW refers to the Free Voters (Freie Wähler), a German political association and party known for its strong local-government focus and presence in Bavarian municipal and regional politics.
  • D. FW
    FW is the designation used for the series of Formula One racing car chassis developed and raced by the Williams Grand Prix Engineering team.
  • E. FW
    FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
  • 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de600f992c81908133813f2894dcca completed April 14, 2026, 3:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcd0b881388190a5bcdd87fd10c516 completed May 7, 2026, 5:49 p.m.
NEDg Description generation batch_69fcd2d99c4c8190baf15d470ead7b1c completed May 7, 2026, 5:58 p.m.
NED2 Entity disambiguation (via description) batch_69fcd3853e848190a210d1c8c08bd6cc completed May 7, 2026, 6:01 p.m.
Created at: April 9, 2026, 10:22 p.m.