Triple

T20933251
Position Surface form Disambiguated ID Type / Status
Subject Ölgii E515519 entity
Predicate airportIATAcode P418 FINISHED
Object ULG
ULG is the IATA airport code for Ölgii Airport, which serves the town of Ölgii in western Mongolia.
 E1457496 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: ULG | Statement: [Ölgii, airportIATAcode, ULG]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ULG
Context triple: [Ölgii, airportIATAcode, ULG]
  • A. UGLE
    UGLE is the governing body of Freemasonry in England, Wales, and some overseas districts, overseeing Masonic lodges and rituals within its jurisdiction.
  • B. UdL
    UdL is the commonly used abbreviation for the University of Lleida, a public higher education and research institution in Catalonia, Spain.
  • C. UdL
    UdL is a major French public research university consortium based in Lyon, encompassing several higher education and research institutions across the Lyon–Saint-Étienne area.
  • D. ULM
    ULM is a public university in Monroe, Louisiana, known for its academic programs, research initiatives, and Warhawks athletic teams.
  • E. UNIL
    UNIL is the commonly used abbreviation for the University of Lausanne, a major public research university in Lausanne, Switzerland.
  • 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: ULG
Triple: [Ölgii, airportIATAcode, ULG]
Generated description
ULG is the IATA airport code for Ölgii Airport, which serves the town of Ölgii in western Mongolia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ULG
Target entity description: ULG is the IATA airport code for Ölgii Airport, which serves the town of Ölgii in western Mongolia.
  • A. UGLE
    UGLE is the governing body of Freemasonry in England, Wales, and some overseas districts, overseeing Masonic lodges and rituals within its jurisdiction.
  • B. UdL
    UdL is the commonly used abbreviation for the University of Lleida, a public higher education and research institution in Catalonia, Spain.
  • C. UdL
    UdL is a major French public research university consortium based in Lyon, encompassing several higher education and research institutions across the Lyon–Saint-Étienne area.
  • D. ULM
    ULM is a public university in Monroe, Louisiana, known for its academic programs, research initiatives, and Warhawks athletic teams.
  • E. UNIL
    UNIL is the commonly used abbreviation for the University of Lausanne, a major public research university in Lausanne, Switzerland.
  • 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_69e0b4fb431c8190b9d40e6a72f0cc87 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6f94e980c819083280a9c35af5930 completed April 21, 2026, 4:13 a.m.
NED1 Entity disambiguation (via context triple) batch_6a091fd28890819091e20c282b0811ae completed May 17, 2026, 1:54 a.m.
NEDg Description generation batch_6a09204848848190acdd189dc88990ed completed May 17, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_6a0920c819a08190b040bb9e89309eb9 completed May 17, 2026, 1:58 a.m.
Created at: April 16, 2026, 12:49 p.m.