Triple

T10357405
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 135 E244033 entity
Predicate abbreviation P43 FINISHED
Object ME 135
ME 135 is a state highway in Maine that serves as a regional connector route between local communities.
E858516 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 135 | Statement: [Maine State Route 135, abbreviation, ME 135]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ME 135
Context triple: [Maine State Route 135, abbreviation, ME 135]
  • A. ME 133
    ME 133 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • B. ME 132
    ME 132 is a state highway in Maine that serves as a regional connector route between local communities.
  • C. ME 131
    ME 131 is a state highway in Maine that runs through Knox County, connecting several coastal and inland communities.
  • D. ME 152
    ME 152 is a state highway in Maine that serves as a regional connector route between local communities.
  • E. 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.
  • 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 135
Triple: [Maine State Route 135, abbreviation, ME 135]
Generated description
ME 135 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 135
Target entity description: ME 135 is a state highway in Maine that serves as a regional connector route between local communities.
  • A. ME 133
    ME 133 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • B. ME 132
    ME 132 is a state highway in Maine that serves as a regional connector route between local communities.
  • C. ME 131
    ME 131 is a state highway in Maine that runs through Knox County, connecting several coastal and inland communities.
  • D. ME 152
    ME 152 is a state highway in Maine that serves as a regional connector route between local communities.
  • E. 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.
  • 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_69d381b22b8c8190aaed476be5f872a9 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e9563ea48190b8702b3ef497ed9a completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d750b02ae48190898f9f97ab19ce60 completed April 9, 2026, 7:09 a.m.
NEDg Description generation batch_69d7618ecb748190a492406eabe590d7 completed April 9, 2026, 8:21 a.m.
NED2 Entity disambiguation (via description) batch_69d77057affc8190b420e66560c3dfbd completed April 9, 2026, 9:24 a.m.
Created at: April 6, 2026, 11:58 a.m.