Triple

T16927840
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 220 E410622 entity
Predicate abbreviation P43 FINISHED
Object ME 220
ME 220 is a state highway in Maine that runs through rural communities, connecting local roads and other major routes in the region.
 E1241341 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 220 | Statement: [Maine State Route 220, abbreviation, ME 220]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 220
Context triple: [Maine State Route 220, abbreviation, ME 220]
  • A. ME 225
    ME 225 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
  • B. ME 203
    ME 203 is a state highway in Maine that serves as a short connector route between local communities.
  • C. ME 207
    ME 207 is a state highway in Maine that serves as a local connector route within the state's road network.
  • D. ME 205
    ME 205 is a state highway in Maine that serves as a local connector route within the state's road network.
  • E. ME 213
    ME 213 is a state highway in Maine that serves as a local connector route between communities in the 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 220
Triple: [Maine State Route 220, abbreviation, ME 220]
Generated description
ME 220 is a state highway in Maine that runs through rural communities, connecting local roads and other major routes in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME 220
Target entity description: ME 220 is a state highway in Maine that runs through rural communities, connecting local roads and other major routes in the region.
  • A. ME 225
    ME 225 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
  • B. ME 203
    ME 203 is a state highway in Maine that serves as a short connector route between local communities.
  • C. ME 207
    ME 207 is a state highway in Maine that serves as a local connector route within the state's road network.
  • D. ME 205
    ME 205 is a state highway in Maine that serves as a local connector route within the state's road network.
  • E. ME 213
    ME 213 is a state highway in Maine that serves as a local connector route between communities in the 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_69d886c7b1e481908c3766dfa8c13458 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3cdf3fc3c8190a884f7ecd5c47adb completed April 18, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00cfdb6b608190af910e225d942d37 completed May 10, 2026, 6:35 p.m.
NEDg Description generation batch_6a00d0ce499c81909bd4ec1c77ae0202 completed May 10, 2026, 6:39 p.m.
NED2 Entity disambiguation (via description) batch_6a00d14b83d88190b3dbc124d5b33029 completed May 10, 2026, 6:41 p.m.
Created at: April 10, 2026, 5:30 a.m.