Triple

T13459316
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 171 E311317 entity
Predicate abbreviation P43 FINISHED
Object ME 171
ME 171 is a state highway in Maine that serves as a local connector route within the state's road network.
 E1041329 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 171 | Statement: [Maine State Route 171, abbreviation, ME 171]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 171
Context triple: [Maine State Route 171, abbreviation, ME 171]
  • A. ME 177
    ME 177 is a state highway in Maine that serves as a local connector route between communities in the region.
  • B. ME 173
    ME 173 is a state highway in Maine that serves as a regional connector route between local communities.
  • C. ME 175
    ME 175 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • D. ME 176
    ME 176 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • E. ME 170
    ME 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
  • 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 171
Triple: [Maine State Route 171, abbreviation, ME 171]
Generated description
ME 171 is a state highway in Maine that serves as a local connector route within the state's road network.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME 171
Target entity description: ME 171 is a state highway in Maine that serves as a local connector route within the state's road network.
  • A. ME 177
    ME 177 is a state highway in Maine that serves as a local connector route between communities in the region.
  • B. ME 173
    ME 173 is a state highway in Maine that serves as a regional connector route between local communities.
  • C. ME 175
    ME 175 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • D. ME 176
    ME 176 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • E. ME 170
    ME 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
  • 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_69d806a938b8819097ec43a2229fc7f9 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf0c177081909178dec61b09c278 completed April 12, 2026, 2:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69f739a001d08190ae5664c6670540e7 completed May 3, 2026, 12:03 p.m.
NEDg Description generation batch_69f73b3074bc819081e30b082857c33e completed May 3, 2026, 12:10 p.m.
NED2 Entity disambiguation (via description) batch_69f73ee5839881908ce75c57f1942b57 completed May 3, 2026, 12:26 p.m.
Created at: April 9, 2026, 9:41 p.m.