Triple

T10235695
Position Surface form Disambiguated ID Type / Status
Subject Morristown Regional Airport E243457 entity
Predicate IATAcode P418 FINISHED
Object MOR
MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
E851542 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: MOR | Statement: [Morristown Regional Airport, IATAcode, MOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MOR
Context triple: [Morristown Regional Airport, IATAcode, MOR]
  • A. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • B. MOR
    MOR is the station code for Morges railway station, a key rail stop in the town of Morges in the canton of Vaud, Switzerland.
  • C. MoR
    MoR is the central government ministry in India responsible for the country’s railway network, policy, and administration.
  • D. MUR
    MUR is the stock ticker symbol for Murray & Roberts Holdings Ltd, a South African engineering and construction services company listed on the Johannesburg Stock Exchange.
  • E. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • 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: MOR
Triple: [Morristown Regional Airport, IATAcode, MOR]
Generated description
MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MOR
Target entity description: MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
  • A. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • B. MOR
    MOR is the station code for Morges railway station, a key rail stop in the town of Morges in the canton of Vaud, Switzerland.
  • C. MoR
    MoR is the central government ministry in India responsible for the country’s railway network, policy, and administration.
  • D. MUR
    MUR is the stock ticker symbol for Murray & Roberts Holdings Ltd, a South African engineering and construction services company listed on the Johannesburg Stock Exchange.
  • E. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • 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_69d381b0f97c819085c9b45799a5fb7c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d20de15c8190a81f3e9803fdfcd1 completed April 7, 2026, 9:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f757b514819087f5d5f659c50c66 completed April 9, 2026, 12:48 a.m.
NEDg Description generation batch_69d6fa2ea97081908395048218c0592b completed April 9, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69d6fcb5dc4c8190944a423a9d16a4b8 completed April 9, 2026, 1:11 a.m.
Created at: April 6, 2026, 11:22 a.m.