Triple

T13642972
Position Surface form Disambiguated ID Type / Status
Subject Regional School Unit 16 E326030 entity
Predicate abbreviation P43 FINISHED
Object RSU 16
RSU 16 is a public school district in Maine serving the communities of Poland, Mechanic Falls, and Minot.
 E1053650 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: RSU 16 | Statement: [Regional School Unit 16, abbreviation, RSU 16]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: RSU 16
Context triple: [Regional School Unit 16, abbreviation, RSU 16]
  • A. RSU
    RSU is the commonly used abbreviation for Rivers State University, a public institution of higher learning located in Port Harcourt, Nigeria.
  • B. RSL
    RSL is the shading language used in Pixar's RenderMan system to define the appearance of surfaces, lights, and volumes in high-end computer graphics rendering.
  • C. RSL
    RSL is the commonly used abbreviation for the Royal Society of Literature, a prestigious UK organization dedicated to the advancement of literature.
  • D. RSL
    RSL is the commonly used abbreviation for Real Salt Lake, a professional Major League Soccer club based in Utah.
  • E. RSL
    RSL is the ICAO airline designator assigned to Royal Air Philippines, a regional carrier based in the Philippines.
  • 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: RSU 16
Triple: [Regional School Unit 16, abbreviation, RSU 16]
Generated description
RSU 16 is a public school district in Maine serving the communities of Poland, Mechanic Falls, and Minot.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: RSU 16
Target entity description: RSU 16 is a public school district in Maine serving the communities of Poland, Mechanic Falls, and Minot.
  • A. RSU
    RSU is the commonly used abbreviation for Rivers State University, a public institution of higher learning located in Port Harcourt, Nigeria.
  • B. RSL
    RSL is the shading language used in Pixar's RenderMan system to define the appearance of surfaces, lights, and volumes in high-end computer graphics rendering.
  • C. RSL
    RSL is the commonly used abbreviation for the Royal Society of Literature, a prestigious UK organization dedicated to the advancement of literature.
  • D. RSL
    RSL is the commonly used abbreviation for Real Salt Lake, a professional Major League Soccer club based in Utah.
  • E. RSL
    RSL is the ICAO airline designator assigned to Royal Air Philippines, a regional carrier based in the Philippines.
  • 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_69d8076beddc8190a53156f5bea77f5e completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbc5ac2af88190976abe6606994eef completed April 12, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69f78af74a548190bc8bbe1a1410997a completed May 3, 2026, 5:50 p.m.
NEDg Description generation batch_69f78bd52b748190ab483ec7634a6549 completed May 3, 2026, 5:54 p.m.
NED2 Entity disambiguation (via description) batch_69f78d277c5c8190970cb3cd0fd32905 completed May 3, 2026, 6 p.m.
Created at: April 9, 2026, 9:51 p.m.