Triple

T11399253
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Railways of the People’s Republic of China E270062 entity
Predicate abbreviation P43 FINISHED
Object MOR
MOR is the former Ministry of Railways of the People’s Republic of China, the government body that once oversaw the country’s railway planning, construction, and operations.
 E923678 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: MOR | Statement: [Ministry of Railways of the People’s Republic of China, abbreviation, MOR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MOR
Context triple: [Ministry of Railways of the People’s Republic of China, abbreviation, MOR]
  • A. MOR
    MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
  • B. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • C. 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.
  • D. MoR
    MoR is the central government ministry in India responsible for the country’s railway network, policy, and administration.
  • E. MUR
    MUR is the stock ticker symbol for Murray & Roberts Holdings Ltd, a South African engineering and construction services company listed on the Johannesburg Stock Exchange.
  • 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: MOR
Triple: [Ministry of Railways of the People’s Republic of China, abbreviation, MOR]
Generated description
MOR is the former Ministry of Railways of the People’s Republic of China, the government body that once oversaw the country’s railway planning, construction, and operations.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MOR
Target entity description: MOR is the former Ministry of Railways of the People’s Republic of China, the government body that once oversaw the country’s railway planning, construction, and operations.
  • A. MOR
    MOR is the ICAO airline designator assigned to the former U.S. low-fare carrier Morris Air.
  • B. 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.
  • C. MOR
    MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
  • D. MoR
    MoR is the central government ministry in India responsible for the country’s railway network, policy, and administration.
  • E. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • 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_69d6aacdbc6c8190af6dc3d5f5d22836 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d8001adc188190ae45227856156412 completed April 9, 2026, 7:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69e58cf75ec08190a571e5178bcde274 completed April 20, 2026, 2:18 a.m.
NEDg Description generation batch_69e59774e6648190a38b2515a83c2e0c completed April 20, 2026, 3:03 a.m.
NED2 Entity disambiguation (via description) batch_69e5a3abf24481908fb71f4ef6b13532 completed April 20, 2026, 3:55 a.m.
Created at: April 8, 2026, 9:34 p.m.