Triple

T8657032
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 112 E205444 entity
Predicate abbreviation P43 FINISHED
Object ME 112
ME 112 is a state highway in Maine that serves as a regional connector route between several communities in the southern part of the state.
 E748743 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 112 | Statement: [Maine State Route 112, abbreviation, ME 112]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 112
Context triple: [Maine State Route 112, abbreviation, ME 112]
  • A. ME 111
    ME 111 is a state highway in Maine that serves as a key east–west route connecting several communities in the southern part of the state.
  • B. ME 102
    ME 102 is a state highway in Maine that runs through Mount Desert Island, providing access to Acadia National Park and several coastal communities.
  • C. ME 152
    ME 152 is a state highway in Maine that serves as a regional connector route between local communities.
  • D. 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.
  • E. ENGM
    ENGM is the ICAO airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital region.
  • 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 112
Triple: [Maine State Route 112, abbreviation, ME 112]
Generated description
ME 112 is a state highway in Maine that serves as a regional connector route between several communities in the southern part of the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME 112
Target entity description: ME 112 is a state highway in Maine that serves as a regional connector route between several communities in the southern part of the state.
  • A. ME 111
    ME 111 is a state highway in Maine that serves as a key east–west route connecting several communities in the southern part of the state.
  • B. ME 102
    ME 102 is a state highway in Maine that runs through Mount Desert Island, providing access to Acadia National Park and several coastal communities.
  • C. ME 152
    ME 152 is a state highway in Maine that serves as a regional connector route between local communities.
  • D. 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.
  • E. ENGM
    ENGM is the ICAO airport code for Oslo Airport, Gardermoen, the main international airport serving Norway’s capital region.
  • 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_69ca8350897c819086cde7596fbe5fe7 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc484569788190aa41395854684e6f completed March 31, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ceccec941881908263cd3205f10ccd completed April 2, 2026, 8:09 p.m.
NEDg Description generation batch_69cece8c4bdc8190988990c675f50f86 completed April 2, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_69cecf3a0e78819082cc7c43eceae309 completed April 2, 2026, 8:19 p.m.
Created at: March 30, 2026, 6:30 p.m.