Triple

T12238336
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 160 E291660 entity
Predicate abbreviation P43 FINISHED
Object ME 160
ME 160 is a state highway in Maine that runs through rural areas of York and Oxford counties, connecting several small towns.
 E970901 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 160 | Statement: [Maine State Route 160, abbreviation, ME 160]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 160
Context triple: [Maine State Route 160, abbreviation, ME 160]
  • A. ME 136
    ME 136 is a state highway in Maine that connects several communities in the southern part of the state and serves as a regional commuter and connector route.
  • B. ME 114
    ME 114 is a state highway in Maine that runs through parts of Cumberland County, connecting several communities and serving as a regional commuter and local access route.
  • C. ME 139
    ME 139 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • D. ME 133
    ME 133 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • E. ME 153
    ME 153 is a state highway in Maine that serves as a short connector route in the state's road network.
  • 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 160
Triple: [Maine State Route 160, abbreviation, ME 160]
Generated description
ME 160 is a state highway in Maine that runs through rural areas of York and Oxford counties, connecting several small towns.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME 160
Target entity description: ME 160 is a state highway in Maine that runs through rural areas of York and Oxford counties, connecting several small towns.
  • A. ME 136
    ME 136 is a state highway in Maine that connects several communities in the southern part of the state and serves as a regional commuter and connector route.
  • B. ME 114
    ME 114 is a state highway in Maine that runs through parts of Cumberland County, connecting several communities and serving as a regional commuter and local access route.
  • C. ME 139
    ME 139 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • D. ME 133
    ME 133 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • E. ME 153
    ME 153 is a state highway in Maine that serves as a short connector route in the state's road network.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91cb45340819093365f8efdf85f75 completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60ab3ae2481908f65d8ac61a6b2e4 completed May 2, 2026, 2:31 p.m.
NEDg Description generation batch_69f60bdd8d508190813178ff4c77afcf completed May 2, 2026, 2:36 p.m.
NED2 Entity disambiguation (via description) batch_69f60c67c680819087630d190d0a008f completed May 2, 2026, 2:38 p.m.
Created at: April 8, 2026, 9:51 p.m.