Triple

T17125913
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 222 E415593 entity
Predicate abbreviation P43 FINISHED
Object ME 222
ME 222 is a state highway in Maine that serves as a regional connector route between local communities.
 E1251325 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 222 | Statement: [Maine State Route 222, abbreviation, ME 222]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 222
Context triple: [Maine State Route 222, abbreviation, ME 222]
  • A. ME 221
    ME 221 is a state highway in Maine that serves as a local connector route within the state's road network.
  • B. 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.
  • C. ME 225
    ME 225 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
  • D. ME 213
    ME 213 is a state highway in Maine that serves as a local connector route between communities in the region.
  • E. ME 210
    ME 210 is a former state highway designation in Maine that referred to Maine State Route 210.
  • 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 222
Triple: [Maine State Route 222, abbreviation, ME 222]
Generated description
ME 222 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 222
Target entity description: ME 222 is a state highway in Maine that serves as a regional connector route between local communities.
  • A. ME 221
    ME 221 is a state highway in Maine that serves as a local connector route within the state's road network.
  • B. 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.
  • C. ME 225
    ME 225 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
  • D. ME 213
    ME 213 is a state highway in Maine that serves as a local connector route between communities in the region.
  • E. ME 210
    ME 210 is a former state highway designation in Maine that referred to Maine State Route 210.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3f026ae188190b8c1e08529719878 completed April 18, 2026, 8:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a12a7288190911c1be2667916c0 completed May 11, 2026, 2:08 a.m.
NEDg Description generation batch_6a013a8e69388190b8d48d70a28e99bd completed May 11, 2026, 2:10 a.m.
NED2 Entity disambiguation (via description) batch_6a013b6824888190853cf36548507e1b completed May 11, 2026, 2:14 a.m.
Created at: April 10, 2026, 5:36 a.m.