Triple

T11757237
Position Surface form Disambiguated ID Type / Status
Subject Mandalay Technological University E279556 entity
Predicate alternativeName P39 FINISHED
Object MTU
MTU is a major engineering and technological university located in Mandalay, Myanmar, known for training engineers and conducting applied research.
 E943607 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: MTU | Statement: [Mandalay Technological University, alternativeName, MTU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MTU
Context triple: [Mandalay Technological University, alternativeName, MTU]
  • A. MTU
    MTU is a public research university in Houghton, Michigan, known for its strong engineering, technology, and science programs.
  • B. MTU
    MTU is a German brand best known for its high-performance diesel engines and propulsion systems used in marine, industrial, and power generation applications.
  • C. MTC
    MTC is the station code for Meerut City railway station, a major rail hub in the city of Meerut, Uttar Pradesh, India.
  • D. MTC
    MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
  • E. MTC
    MTC is the three-letter station code used to identify Mornington Crescent tube station on the London Underground network.
  • 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: MTU
Triple: [Mandalay Technological University, alternativeName, MTU]
Generated description
MTU is a major engineering and technological university located in Mandalay, Myanmar, known for training engineers and conducting applied research.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MTU
Target entity description: MTU is a major engineering and technological university located in Mandalay, Myanmar, known for training engineers and conducting applied research.
  • A. MTU
    MTU is a public research university in Houghton, Michigan, known for its strong engineering, technology, and science programs.
  • B. MTU
    MTU is a German brand best known for its high-performance diesel engines and propulsion systems used in marine, industrial, and power generation applications.
  • C. MTC
    MTC is the station code for Meerut City railway station, a major rail hub in the city of Meerut, Uttar Pradesh, India.
  • D. MTC
    MTC is the three-letter station code used to identify Mornington Crescent tube station on the London Underground network.
  • E. MTC
    MTC is a regional planning and transportation agency that coordinates and funds transit, highways, and other mobility projects in the San Francisco Bay Area.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50c8d708190ad79ecb57b715d04 completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f01a2f0a848190944ba2688c6d7ad2 completed April 28, 2026, 2:23 a.m.
NEDg Description generation batch_69f0319622c48190bee6c906f08c0a8c completed April 28, 2026, 4:03 a.m.
NED2 Entity disambiguation (via description) batch_69f05af9ce808190bc6c1ec2cb9903f9 completed April 28, 2026, 7 a.m.
Created at: April 8, 2026, 9:41 p.m.