Triple

T15327038
Position Surface form Disambiguated ID Type / Status
Subject Malmö University E366437 entity
Predicate hasAbbreviation P43 FINISHED
Object MAU
MAU is the commonly used abbreviation for Malmö University, a public higher education institution in Malmö, Sweden.
 E1149498 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: MAU | Statement: [Malmö University, hasAbbreviation, MAU]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAU
Context triple: [Malmö University, hasAbbreviation, MAU]
  • A. MAU
    MAU is the ICAO airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
  • B. MAU
    MAU (Media Access Unit) is a network device used in IEEE 802.5 Token Ring networks to connect multiple stations and manage the ring’s physical topology.
  • C. MAUR
    MAUR is the Management Authority for Urban Railways, a government body responsible for overseeing the development and operation of urban rail transit systems.
  • D. Ma$e
    Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
  • E. Mau
    Mau is a city in the Purvanchal region of eastern Uttar Pradesh, India, known for its textile and power-loom industry.
  • 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: MAU
Triple: [Malmö University, hasAbbreviation, MAU]
Generated description
MAU is the commonly used abbreviation for Malmö University, a public higher education institution in Malmö, Sweden.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAU
Target entity description: MAU is the commonly used abbreviation for Malmö University, a public higher education institution in Malmö, Sweden.
  • A. MAU
    MAU (Media Access Unit) is a network device used in IEEE 802.5 Token Ring networks to connect multiple stations and manage the ring’s physical topology.
  • B. MAU
    MAU is the ICAO airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
  • C. MAUR
    MAUR is the Management Authority for Urban Railways, a government body responsible for overseeing the development and operation of urban rail transit systems.
  • D. Ma$e
    Ma$e is an American rapper and songwriter known for his late-1990s success with Bad Boy Records and his smooth, laid-back delivery on hits like "Feel So Good."
  • E. Mau
    Mau is a city in the Purvanchal region of eastern Uttar Pradesh, India, known for its textile and power-loom industry.
  • 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_69d85a121520819093dcce999fdefe1a completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03dffd6f88190a0f031ee90c6a7d2 completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69fef8add7088190b124bd4727bb2f28 completed May 9, 2026, 9:04 a.m.
NEDg Description generation batch_69fef9ed514081909a54da584dff7e5c completed May 9, 2026, 9:10 a.m.
NED2 Entity disambiguation (via description) batch_69fefa72f9cc819089550217ea7c7d6e completed May 9, 2026, 9:12 a.m.
Created at: April 10, 2026, 3:16 a.m.