Triple

T13265241
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 173 E315904 entity
Predicate abbreviation P43 FINISHED
Object ME 173
ME 173 is a state highway in Maine that serves as a regional connector route between local communities.
 E1031191 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 173 | Statement: [Maine State Route 173, abbreviation, ME 173]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 173
Context triple: [Maine State Route 173, abbreviation, ME 173]
  • 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 176
    ME 176 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • C. ME 170
    ME 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
  • D. ME 167
    ME 167 is a state highway in Maine that serves as a regional connector route within the state's road network.
  • E. ME 139
    ME 139 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • 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 173
Triple: [Maine State Route 173, abbreviation, ME 173]
Generated description
ME 173 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 173
Target entity description: ME 173 is a state highway in Maine that serves as a regional connector route between local communities.
  • 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 176
    ME 176 is a state highway in Maine that serves as a local connector route through Hancock County’s coastal communities.
  • C. ME 170
    ME 170 is a state highway in Maine that serves as a regional connector route through rural parts of the state.
  • D. ME 167
    ME 167 is a state highway in Maine that serves as a regional connector route within the state's road network.
  • E. ME 139
    ME 139 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • 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_69d806b1d9ac8190852c5571d5bd5f0f completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9901c65048190bd8b3c4872f22520 completed April 11, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69f70a4ad79c8190b1304942dc48c0ff completed May 3, 2026, 8:41 a.m.
NEDg Description generation batch_69f70b37ebe081909ed2ae0f42ccad2d completed May 3, 2026, 8:45 a.m.
NED2 Entity disambiguation (via description) batch_69f70ca343f08190b6484f464ed40810 completed May 3, 2026, 8:51 a.m.
Created at: April 9, 2026, 9:25 p.m.