Triple

T7732446
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 152 E175292 entity
Predicate abbreviation P43 FINISHED
Object ME 152
ME 152 is a state highway in Maine that serves as a regional connector route between local communities.
 E684053 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 152 | Statement: [Maine State Route 152, abbreviation, ME 152]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 152
Context triple: [Maine State Route 152, abbreviation, ME 152]
  • A. ME 100
    ME 100 is a state highway in Maine that serves as a major north–south route connecting several communities and providing an alternative to Interstate 95.
  • B. ME-15
    ME-15 is a designated state highway in Maine that serves as part of State Route 15 through the city of Brewer.
  • C. M-153
    M-153 is a state trunkline highway in Michigan, commonly known as Ford Road, that serves as a major east–west arterial route through the Detroit metropolitan area.
  • D. 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.
  • E. 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.
  • 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 152
Triple: [Maine State Route 152, abbreviation, ME 152]
Generated description
ME 152 is a state highway in Maine that serves as a regional connector route between local communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME 152
Target entity description: ME 152 is a state highway in Maine that serves as a regional connector route between local communities.
  • A. ME 100
    ME 100 is a state highway in Maine that serves as a major north–south route connecting several communities and providing an alternative to Interstate 95.
  • B. ME-15
    ME-15 is a designated state highway in Maine that serves as part of State Route 15 through the city of Brewer.
  • C. M-153
    M-153 is a state trunkline highway in Michigan, commonly known as Ford Road, that serves as a major east–west arterial route through the Detroit metropolitan area.
  • D. 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.
  • E. 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.
  • 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_69c6995e912c81909a49a2657103f786 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c7033863d881909451a4f9675021a3 completed March 27, 2026, 10:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8b531a7f481908e4ff7f15b851070 completed March 29, 2026, 5:14 a.m.
NEDg Description generation batch_69c8b5fbda848190b09172740371fd47 completed March 29, 2026, 5:17 a.m.
NED2 Entity disambiguation (via description) batch_69c8b675ddb0819085d79dbba560d08f completed March 29, 2026, 5:19 a.m.
Created at: March 27, 2026, 4:06 p.m.