Triple

T9051405
Position Surface form Disambiguated ID Type / Status
Subject Management Authority for Urban Railways E216890 entity
Predicate shortName P43 FINISHED
Object MAUR
MAUR is the Management Authority for Urban Railways, a government body responsible for overseeing the development and operation of urban rail transit systems.
 E775483 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: MAUR | Statement: [Management Authority for Urban Railways, shortName, MAUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MAUR
Context triple: [Management Authority for Urban Railways, shortName, MAUR]
  • A. Maur
    Maur is a municipality in the canton of Zürich in Switzerland, located on the northeastern shore of Lake Greifen and known for its residential character and natural surroundings.
  • 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. MAU
    MAU is the ICAO airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
  • 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. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • 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: MAUR
Triple: [Management Authority for Urban Railways, shortName, MAUR]
Generated description
MAUR is the Management Authority for Urban Railways, a government body responsible for overseeing the development and operation of urban rail transit systems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MAUR
Target entity description: MAUR is the Management Authority for Urban Railways, a government body responsible for overseeing the development and operation of urban rail transit systems.
  • A. Maur
    Maur is a municipality in the canton of Zürich in Switzerland, located on the northeastern shore of Lake Greifen and known for its residential character and natural surroundings.
  • 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. MAU
    MAU is the ICAO airline designator assigned to Air Mauritius, the flag carrier airline of Mauritius.
  • 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. MAR
    MAR is the three-letter ISO 3166-1 alpha-3 country code assigned to Morocco.
  • 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_69ca83d362e88190ae44b4e4dc194209 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6b54423081908d9fd985109e336a completed April 1, 2026, 12:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfebc90bf88190bbcdab07ca93f569 completed April 3, 2026, 4:33 p.m.
NEDg Description generation batch_69cfecf7fce08190a9b80044a2ae9745 completed April 3, 2026, 4:38 p.m.
NED2 Entity disambiguation (via description) batch_69cff0ea8c388190bd95233db9c69038 completed April 3, 2026, 4:55 p.m.
Created at: March 30, 2026, 7:10 p.m.