Triple

T10570621
Position Surface form Disambiguated ID Type / Status
Subject National University of Laos E249468 entity
Predicate shortName P43 FINISHED
Object NUOL
NUOL is the principal public university in Laos, offering a wide range of higher education and research programs across multiple disciplines.
 E873274 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: NUOL | Statement: [National University of Laos, shortName, NUOL]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: NUOL
Context triple: [National University of Laos, shortName, NUOL]
  • A. NUAN
    NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
  • B. NOL
    NOL is a Polish vehicle registration code assigned to cars registered in the Olsztyn County area, which includes the town of Jeziorany.
  • C. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • D. NUE
    NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
  • E. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • 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: NUOL
Triple: [National University of Laos, shortName, NUOL]
Generated description
NUOL is the principal public university in Laos, offering a wide range of higher education and research programs across multiple disciplines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: NUOL
Target entity description: NUOL is the principal public university in Laos, offering a wide range of higher education and research programs across multiple disciplines.
  • A. NUAN
    NUAN is the stock ticker symbol for Nuance Communications, a company known for its speech recognition and conversational AI technologies.
  • B. NOL
    NOL is a Polish vehicle registration code assigned to cars registered in the Olsztyn County area, which includes the town of Jeziorany.
  • C. NOL
    NOL is the Amtrak station code for New Orleans’ main intercity rail hub, the New Orleans Union Passenger Terminal.
  • D. NUE
    NUE is the three-letter IATA airport code for Nuremberg Airport in Nuremberg, Germany.
  • E. Nu
    Nu is the given name of U Nu, the first Prime Minister of independent Burma (now Myanmar) and a prominent mid-20th-century political leader.
  • 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_69d381c8bd708190acf3d275c908251e completed April 6, 2026, 9:50 a.m.
NER Named-entity recognition batch_69d5274678148190b7a1afc099628357 completed April 7, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b55d0f88190bd6853603f67e88d completed April 10, 2026, 7:11 p.m.
NEDg Description generation batch_69d94f759e7c8190a9e2fd030977584d completed April 10, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_69d952c334448190b1c21964b55a3a68 completed April 10, 2026, 7:42 p.m.
Created at: April 6, 2026, 12:37 p.m.