Triple

T16224844
Position Surface form Disambiguated ID Type / Status
Subject Ministry of Public Works of Chile E393818 entity
Predicate abbreviation P43 FINISHED
Object MOP
MOP is the commonly used acronym for Chile’s Ministry of Public Works, the government body responsible for planning, building, and maintaining the country’s public infrastructure.
 E1200776 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: MOP | Statement: [Ministry of Public Works of Chile, abbreviation, MOP]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MOP
Context triple: [Ministry of Public Works of Chile, abbreviation, MOP]
  • A. MOP
    MOP is the ISO 4217 currency code for the Macanese pataca, the official currency of Macau.
  • B. MOP
    MOP is the IATA airport code for Mount Pleasant Municipal Airport in Michigan, United States.
  • C. MOP
    MOP is the National Rail station code for Moor Park railway station in Hertfordshire, England.
  • D. MOP
    MOP is the governing body that brings together countries to review and make decisions on the implementation of the Cartagena Protocol on Biosafety.
  • E. MOPITT
    MOPITT is a satellite instrument aboard NASA's Terra spacecraft designed to measure global distributions of atmospheric carbon monoxide and methane for climate and air quality research.
  • 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: MOP
Triple: [Ministry of Public Works of Chile, abbreviation, MOP]
Generated description
MOP is the commonly used acronym for Chile’s Ministry of Public Works, the government body responsible for planning, building, and maintaining the country’s public infrastructure.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MOP
Target entity description: MOP is the commonly used acronym for Chile’s Ministry of Public Works, the government body responsible for planning, building, and maintaining the country’s public infrastructure.
  • A. MOP
    MOP is the ISO 4217 currency code for the Macanese pataca, the official currency of Macau.
  • B. MOP
    MOP is the IATA airport code for Mount Pleasant Municipal Airport in Michigan, United States.
  • C. MOP
    MOP is the National Rail station code for Moor Park railway station in Hertfordshire, England.
  • D. MOP
    MOP is the governing body that brings together countries to review and make decisions on the implementation of the Cartagena Protocol on Biosafety.
  • E. MOPITT
    MOPITT is a satellite instrument aboard NASA's Terra spacecraft designed to measure global distributions of atmospheric carbon monoxide and methane for climate and air quality 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_69d87f204df88190a8f88923decf9835 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e23d24f9688190b670cfeb73332293 completed April 17, 2026, 2:01 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00079c4184819091d3355a5afaeced completed May 10, 2026, 4:20 a.m.
NEDg Description generation batch_6a0009f631e08190aae358edc9ffad6b completed May 10, 2026, 4:30 a.m.
NED2 Entity disambiguation (via description) batch_6a000a6de0488190ac72fb9eee9ec531 completed May 10, 2026, 4:32 a.m.
Created at: April 10, 2026, 5:03 a.m.