Triple

T810579
Position Surface form Disambiguated ID Type / Status
Subject Ministry of National Defence of Poland E17534 entity
Predicate shortName P43 FINISHED
Object MON
MON is the commonly used abbreviation for Poland’s Ministry of National Defence, the government body responsible for the country’s defense policy and armed forces.
 E97799 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: MON | Statement: [Ministry of National Defence of Poland, shortName, MON]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MON
Context triple: [Ministry of National Defence of Poland, shortName, MON]
  • A. MON
    MON is the standard abbreviation used for the Montreal Canadiens, the historic National Hockey League team based in Montreal, Quebec.
  • B. Mon
    The Mon are one of the oldest ethnic groups in mainland Southeast Asia, historically influential in the spread of Theravada Buddhism and early state formation in what is now Myanmar and Thailand.
  • C. Maand
    Maand is a classical folk music style from Rajasthan, India, known for its expressive melodies and royal courtly associations.
  • D. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • E. MARDI
    MARDI is a descent imaging camera on NASA's Curiosity rover that captured high-resolution video of the rover's landing on Mars and helps document the geology of its landing site.
  • 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: MON
Triple: [Ministry of National Defence of Poland, shortName, MON]
Generated description
MON is the commonly used abbreviation for Poland’s Ministry of National Defence, the government body responsible for the country’s defense policy and armed forces.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MON
Target entity description: MON is the commonly used abbreviation for Poland’s Ministry of National Defence, the government body responsible for the country’s defense policy and armed forces.
  • A. MON
    MON is the standard abbreviation used for the Montreal Canadiens, the historic National Hockey League team based in Montreal, Quebec.
  • B. Mon
    The Mon are one of the oldest ethnic groups in mainland Southeast Asia, historically influential in the spread of Theravada Buddhism and early state formation in what is now Myanmar and Thailand.
  • C. Maand
    Maand is a classical folk music style from Rajasthan, India, known for its expressive melodies and royal courtly associations.
  • D. Ma
    Ma is a common Chinese surname borne by many notable individuals across fields such as music, politics, and sports.
  • E. MARDI
    MARDI is a descent imaging camera on NASA's Curiosity rover that captured high-resolution video of the rover's landing on Mars and helps document the geology of its landing site.
  • 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_69a4937ae8a08190b5084a03d532b30e completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a4ab26d36c8190800e98890b7ae08e completed March 1, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69a76d8869888190a95857546dfae5b3 completed March 3, 2026, 11:23 p.m.
NEDg Description generation batch_69a78e436c048190b31b53fff1c48f1d completed March 4, 2026, 1:43 a.m.
NED2 Entity disambiguation (via description) batch_69a78eb80f6081908257889efaff6d33 completed March 4, 2026, 1:45 a.m.
Created at: March 1, 2026, 7:38 p.m.