Triple

T6060512
Position Surface form Disambiguated ID Type / Status
Subject Mongolian University of Science and Technology E135021 entity
Predicate abbreviation P43 FINISHED
Object MUST
MUST is a leading Mongolian university specializing in science, engineering, and technology education and research.
 E566302 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: MUST | Statement: [Mongolian University of Science and Technology, abbreviation, MUST]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MUST
Context triple: [Mongolian University of Science and Technology, abbreviation, MUST]
  • A. Muster
    Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
  • B. MUT
    MUT is the station code for Meerut Cantt railway station in Uttar Pradesh, India.
  • C. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • D. 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.
  • E. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • 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: MUST
Triple: [Mongolian University of Science and Technology, abbreviation, MUST]
Generated description
MUST is a leading Mongolian university specializing in science, engineering, and technology education and research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MUST
Target entity description: MUST is a leading Mongolian university specializing in science, engineering, and technology education and research.
  • A. Muster
    Muster, commonly known as Aggie Muster, is a cherished Texas A&M University tradition in which Aggies worldwide gather annually to honor and remember fellow Aggies who have passed away.
  • B. MUT
    MUT is the station code for Meerut Cantt railway station in Uttar Pradesh, India.
  • C. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • D. 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.
  • E. MU
    MU is the IATA airline designator assigned to China Eastern Airlines, one of China’s major carriers.
  • 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_69c00878d06881909ee78e88913bf890 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0571e479c8190bec0e1439b4cf68f completed March 22, 2026, 8:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69c11d197dd08190bcc6904c7c2e41aa completed March 23, 2026, 10:59 a.m.
NEDg Description generation batch_69c11e4454948190a8f4643cb55e673a completed March 23, 2026, 11:04 a.m.
NED2 Entity disambiguation (via description) batch_69c11ec554688190bfe184608944a15e completed March 23, 2026, 11:06 a.m.
Created at: March 22, 2026, 4:10 p.m.