Triple

T689668
Position Surface form Disambiguated ID Type / Status
Subject SriLankan Airlines E13363 entity
Predicate IATAcode P418 FINISHED
Object UL
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
 E84980 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: UL | Statement: [SriLankan Airlines, IATAcode, UL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: UL
Context triple: [SriLankan Airlines, IATAcode, UL]
  • A. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • B. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • C. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • D. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • E. UAL
    UAL is the ICAO airline designator used to identify United Airlines in aviation operations and air traffic control.
  • 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: UL
Triple: [SriLankan Airlines, IATAcode, UL]
Generated description
UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: UL
Target entity description: UL is the two-letter IATA airline designator assigned to SriLankan Airlines, the flag carrier of Sri Lanka.
  • A. UL
    UL is the vehicle registration code used on license plates for the city of Ulm in Germany.
  • B. LU
    LU is the two-letter ISO 3166-1 alpha-2 country code assigned to Luxembourg for international identification and data standards.
  • C. Ur
    Ur was one of the most important ancient Sumerian city-states, renowned for its ziggurat and early urban civilization in southern Mesopotamia.
  • D. UM
    UM is the commonly used abbreviation for the University of Miami, a private research university located in Coral Gables, Florida.
  • E. UAL
    UAL is the ICAO airline designator used to identify United Airlines in aviation operations and air traffic control.
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0ad379c81909003d35c63822780 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca5b2688190bfe05a165c753211 completed March 2, 2026, 6:53 p.m.
NEDg Description generation batch_69a5ddeaef148190bb9877cee15959fd completed March 2, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69a5fea9df3481909331e3e382ad81ae completed March 2, 2026, 9:18 p.m.
Created at: March 1, 2026, 7:36 p.m.