Triple

T14284044
Position Surface form Disambiguated ID Type / Status
Subject Molalla River School District E354121 entity
Predicate abbreviation P43 FINISHED
Object MRSD
MRSD is the commonly used abbreviation for the Molalla River School District, a public school district serving the Molalla area in Oregon.
 E1090652 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: MRSD | Statement: [Molalla River School District, abbreviation, MRSD]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: MRSD
Context triple: [Molalla River School District, abbreviation, MRSD]
  • A. MRSD
    MRSD is a specialized graduate program focused on the practical design, development, and deployment of advanced robotic systems.
  • B. MDSD
    MDSD is the ICAO airport code for Las Américas International Airport, a major international gateway serving Santo Domingo in the Dominican Republic.
  • C. BSSD
    BSSD is the commonly used abbreviation for the Blue Springs School District, a public school district serving the Blue Springs area in Missouri.
  • D. MSK
    MSK is the standard time zone abbreviation used for Moscow Time, which is three hours ahead of Coordinated Universal Time (UTC+3).
  • E. MSA
    MSA is the common abbreviation for the Master Settlement Agreement, a landmark 1998 legal settlement between major U.S. tobacco companies and state attorneys general that reshaped tobacco advertising and funded public health initiatives.
  • 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: MRSD
Triple: [Molalla River School District, abbreviation, MRSD]
Generated description
MRSD is the commonly used abbreviation for the Molalla River School District, a public school district serving the Molalla area in Oregon.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: MRSD
Target entity description: MRSD is the commonly used abbreviation for the Molalla River School District, a public school district serving the Molalla area in Oregon.
  • A. MRSD
    MRSD is a specialized graduate program focused on the practical design, development, and deployment of advanced robotic systems.
  • B. MDSD
    MDSD is the ICAO airport code for Las Américas International Airport, a major international gateway serving Santo Domingo in the Dominican Republic.
  • C. BSSD
    BSSD is the commonly used abbreviation for the Blue Springs School District, a public school district serving the Blue Springs area in Missouri.
  • D. MSK
    MSK is the standard time zone abbreviation used for Moscow Time, which is three hours ahead of Coordinated Universal Time (UTC+3).
  • E. MSA
    MSA is the common abbreviation for the Master Settlement Agreement, a landmark 1998 legal settlement between major U.S. tobacco companies and state attorneys general that reshaped tobacco advertising and funded public health initiatives.
  • 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_69d8278d25148190abf1a8c8f5f533ad completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de697d9fd08190b0cd7a6a6737ba03 completed April 14, 2026, 4:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd3d1a6d8081908e857143c0c809c0 completed May 8, 2026, 1:32 a.m.
NEDg Description generation batch_69fd3da6f0648190876dd86dd51e72cc completed May 8, 2026, 1:34 a.m.
NED2 Entity disambiguation (via description) batch_69fd3e30868481908b55b368ab45c7fb completed May 8, 2026, 1:36 a.m.
Created at: April 10, 2026, 1:10 a.m.