Triple

T5465084
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 7 E122687 entity
Predicate abbreviation P43 FINISHED
Object ME-7
ME-7 is a state highway in Maine that runs between Belfast on the coast and Dover-Foxcroft inland, passing through several rural communities.
 E520105 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: ME-7 | Statement: [Maine State Route 7, abbreviation, ME-7]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME-7
Context triple: [Maine State Route 7, abbreviation, ME-7]
  • A. ME-15
    ME-15 is a designated state highway in Maine that serves as part of State Route 15 through the city of Brewer.
  • B. ME 27
    ME 27 is a state highway in Maine that runs north–south, connecting coastal and central regions with the Canadian border.
  • C. Me 210A
    The Me 210A was an early production version of the German Messerschmitt Me 210 twin-engine heavy fighter and ground-attack aircraft used during World War II.
  • D. MR-73
    MR-73 is a class of rubber-tired electric multiple unit trains used on the Montreal Metro system.
  • E. MEC
    MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
  • 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: ME-7
Triple: [Maine State Route 7, abbreviation, ME-7]
Generated description
ME-7 is a state highway in Maine that runs between Belfast on the coast and Dover-Foxcroft inland, passing through several rural communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME-7
Target entity description: ME-7 is a state highway in Maine that runs between Belfast on the coast and Dover-Foxcroft inland, passing through several rural communities.
  • A. ME-15
    ME-15 is a designated state highway in Maine that serves as part of State Route 15 through the city of Brewer.
  • B. ME 27
    ME 27 is a state highway in Maine that runs north–south, connecting coastal and central regions with the Canadian border.
  • C. Me 210A
    The Me 210A was an early production version of the German Messerschmitt Me 210 twin-engine heavy fighter and ground-attack aircraft used during World War II.
  • D. MR-73
    MR-73 is a class of rubber-tired electric multiple unit trains used on the Montreal Metro system.
  • E. MEC
    MEC is the commonly used acronym for Uruguay’s Ministry of Education and Culture, the national body responsible for educational policy and cultural affairs.
  • 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_69bd4643f16081908d7f29e08096115a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd920590b481909b92091678ff1414 completed March 20, 2026, 6:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41524c3c81908425a02162496c15 completed March 22, 2026, 1:09 a.m.
NEDg Description generation batch_69bf41c9cc5c81909506d0b1cd2041d0 completed March 22, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69bf4220a9ac8190bb9dab529dfe8749 completed March 22, 2026, 1:13 a.m.
Created at: March 20, 2026, 2:08 p.m.