Triple

T21654749
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 35 E534428 entity
Predicate abbreviation P43 FINISHED
Object ME 35
ME 35 is a state highway in Maine that runs through the southwestern part of the state, connecting several towns and serving as a regional north–south route.
 E1495503 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 35 | Statement: [Maine State Route 35, abbreviation, ME 35]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 35
Context triple: [Maine State Route 35, abbreviation, ME 35]
  • A. ME 250
    ME 250 is a state highway in Maine that serves as a numbered route within the state's transportation network.
  • 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 256
    ME 256 is a state highway in Maine that serves as a local connector route in the eastern part of the state.
  • D. ME 135
    ME 135 is a state highway in Maine that serves as a regional connector route between local communities.
  • E. ME 155
    ME 155 is a state highway in Maine that connects several rural communities in the central part 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 35
Triple: [Maine State Route 35, abbreviation, ME 35]
Generated description
ME 35 is a state highway in Maine that runs through the southwestern part of the state, connecting several towns and serving as a regional north–south route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME 35
Target entity description: ME 35 is a state highway in Maine that runs through the southwestern part of the state, connecting several towns and serving as a regional north–south route.
  • A. ME 250
    ME 250 is a state highway in Maine that serves as a numbered route within the state's transportation network.
  • 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 256
    ME 256 is a state highway in Maine that serves as a local connector route in the eastern part of the state.
  • D. ME 135
    ME 135 is a state highway in Maine that serves as a regional connector route between local communities.
  • E. ME 155
    ME 155 is a state highway in Maine that connects several rural communities in the central part 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_69e0c467e1f48190af2650b19175abc4 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69ef59176b28819092384fc5f8968022 completed April 27, 2026, 12:39 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a15960e348190b944ee34d80cd8a8 completed May 17, 2026, 7:23 p.m.
NEDg Description generation batch_6a0a16c278188190855335930666cede completed May 17, 2026, 7:28 p.m.
NED2 Entity disambiguation (via description) batch_6a0a17a2c81481908e229ea58e61843e completed May 17, 2026, 7:31 p.m.
Created at: April 16, 2026, 6:36 p.m.