Triple

T4630443
Position Surface form Disambiguated ID Type / Status
Subject Dane County Regional Airport E101401 entity
Predicate IATAcode P418 FINISHED
Object MSN
MSN is the three-letter IATA airport code for Dane County Regional Airport serving Madison, Wisconsin.
 E457643 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: MSN | Statement: [Dane County Regional Airport, IATAcode, MSN]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MSN
Context triple: [Dane County Regional Airport, IATAcode, MSN]
  • A. MSN
    MSN is a Microsoft-owned web portal and collection of Internet services offering news, entertainment, email, and other online content.
  • B. MSN Messenger
    MSN Messenger was a widely used instant messaging client developed by Microsoft that enabled real-time text, voice, and video communication over the internet.
  • C. MS
    MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
  • D. MS
    MS is the station code for Chennai Egmore, one of the major railway terminals in Chennai, India.
  • E. MS
    MS is a postgraduate Master of Science degree typically focused on advanced study and research in scientific or technical disciplines.
  • 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: MSN
Triple: [Dane County Regional Airport, IATAcode, MSN]
Generated description
MSN is the three-letter IATA airport code for Dane County Regional Airport serving Madison, Wisconsin.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MSN
Target entity description: MSN is the three-letter IATA airport code for Dane County Regional Airport serving Madison, Wisconsin.
  • A. MSN
    MSN is a Microsoft-owned web portal and collection of Internet services offering news, entertainment, email, and other online content.
  • B. MSN Messenger
    MSN Messenger was a widely used instant messaging client developed by Microsoft that enabled real-time text, voice, and video communication over the internet.
  • C. MS
    MS is the two-letter ISO 3166 country code assigned to the British Overseas Territory of Montserrat in the Caribbean.
  • D. MS
    MS is the station code for Chennai Egmore, one of the major railway terminals in Chennai, India.
  • E. MS
    MS is a postgraduate Master of Science degree typically focused on advanced study and research in scientific or technical disciplines.
  • 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_69bd43d2f1c081908cd4b7ec48ecc73d completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd5a316ef48190831970ec914cf5a2 completed March 20, 2026, 2:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdfab992148190a1b1dfa33b971d11 completed March 21, 2026, 1:56 a.m.
NEDg Description generation batch_69bdfb56021081909b23d22770bf3c88 completed March 21, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69bdfbf15f1481908b76bcdd37ebd4ce completed March 21, 2026, 2:01 a.m.
Created at: March 20, 2026, 1:13 p.m.