Triple

T19990291
Position Surface form Disambiguated ID Type / Status
Subject Mouvements unis de la Résistance E494042 entity
Predicate hasAbbreviation P43 FINISHED
Object MUR
MUR was a major French Resistance movement during World War II that unified several underground groups opposing the Nazi occupation and the Vichy regime.
E1406301 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: MUR | Statement: [Mouvements unis de la Résistance, hasAbbreviation, MUR]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MUR
Context triple: [Mouvements unis de la Résistance, hasAbbreviation, MUR]
  • A. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • B. 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.
  • C. MURR
    MURR is a high-power research nuclear reactor at the University of Missouri used for scientific research, isotope production, and educational purposes.
  • D. 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.
  • E. MOR
    MOR is the station code for Mo i Rana Station, a railway station in the town of Mo i Rana in Nordland county, Norway.
  • 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: MUR
Triple: [Mouvements unis de la Résistance, hasAbbreviation, MUR]
Generated description
MUR was a major French Resistance movement during World War II that unified several underground groups opposing the Nazi occupation and the Vichy regime.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MUR
Target entity description: MUR was a major French Resistance movement during World War II that unified several underground groups opposing the Nazi occupation and the Vichy regime.
  • A. MUR
    MUR is the Italian Ministry responsible for national policies on universities, higher education, and scientific and technological research.
  • B. 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.
  • C. MURR
    MURR is a high-power research nuclear reactor at the University of Missouri used for scientific research, isotope production, and educational purposes.
  • D. MOR
    MOR is the station code for Mo i Rana Station, a railway station in the town of Mo i Rana in Nordland county, Norway.
  • E. MOR
    MOR is the IATA airport code for Morristown Regional Airport in Tennessee, United States.
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fdecf108190a5b215fd25bc4dda completed April 20, 2026, 5:18 p.m.
NED1 Entity disambiguation (via context triple) batch_6a080501d1308190917e1842dacd3de9 completed May 16, 2026, 5:47 a.m.
NEDg Description generation batch_6a0808d323cc819086e6282aeef0f651 completed May 16, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0809652acc819098cc2c4f67b5ab66 completed May 16, 2026, 6:06 a.m.
Created at: April 11, 2026, 3:30 p.m.