Triple

T11970847
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 155 E284914 entity
Predicate abbreviation P43 FINISHED
Object ME 155
ME 155 is a state highway in Maine that connects several rural communities in the central part of the state.
 E956450 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 155 | Statement: [Maine State Route 155, abbreviation, ME 155]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 155
Context triple: [Maine State Route 155, abbreviation, ME 155]
  • A. ME 152
    ME 152 is a state highway in Maine that serves as a regional connector route between local communities.
  • B. ME 153
    ME 153 is a state highway in Maine that serves as a short connector route in the state's road network.
  • C. ME 135
    ME 135 is a state highway in Maine that serves as a regional connector route between local communities.
  • D. ME 115
    ME 115 is a state highway in Maine that serves as a regional connector route between several communities in the southern part of the state.
  • E. 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.
  • 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 155
Triple: [Maine State Route 155, abbreviation, ME 155]
Generated description
ME 155 is a state highway in Maine that connects several rural communities in the central part of the state.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME 155
Target entity description: ME 155 is a state highway in Maine that connects several rural communities in the central part of the state.
  • A. ME 152
    ME 152 is a state highway in Maine that serves as a regional connector route between local communities.
  • B. ME 153
    ME 153 is a state highway in Maine that serves as a short connector route in the state's road network.
  • C. ME 135
    ME 135 is a state highway in Maine that serves as a regional connector route between local communities.
  • D. ME 115
    ME 115 is a state highway in Maine that serves as a regional connector route between several communities in the southern part of the state.
  • E. 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.
  • 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_69d6ab2eaeb881909f7914758f859413 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9037d32e88190b1509285dc907d29 completed April 10, 2026, 2:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69f459691ff0819099282172933d2d81 completed May 1, 2026, 7:42 a.m.
NEDg Description generation batch_69f4645fcdcc81909ee9ae81cb884639 completed May 1, 2026, 8:29 a.m.
NED2 Entity disambiguation (via description) batch_69f465c3245c8190a748345e998f0568 completed May 1, 2026, 8:35 a.m.
Created at: April 8, 2026, 9:46 p.m.