Triple

T16239643
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 213 E394207 entity
Predicate abbreviation P43 FINISHED
Object ME 213
ME 213 is a state highway in Maine that serves as a local connector route between communities in the region.
E1202899 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 213 | Statement: [Maine State Route 213, abbreviation, ME 213]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ME 213
Context triple: [Maine State Route 213, abbreviation, ME 213]
  • A. ME 210
    ME 210 is a former state highway designation in Maine that referred to Maine State Route 210.
  • 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 112
    ME 112 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 213
Triple: [Maine State Route 213, abbreviation, ME 213]
Generated description
ME 213 is a state highway in Maine that serves as a local connector route between communities in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: ME 213
Target entity description: ME 213 is a state highway in Maine that serves as a local connector route between communities in the region.
  • A. ME 210
    ME 210 is a former state highway designation in Maine that referred to Maine State Route 210.
  • 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 112
    ME 112 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_69d87f2171208190951025e526947816 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e2455d5270819090171d4207223a28 completed April 17, 2026, 2:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a000edaf76c8190acc01f58845e570a completed May 10, 2026, 4:51 a.m.
NEDg Description generation batch_6a0011f7f3fc8190a3a3bf260b391e78 completed May 10, 2026, 5:04 a.m.
NED2 Entity disambiguation (via description) batch_6a0012e9913481908ee5ada2fce507f4 completed May 10, 2026, 5:08 a.m.
Created at: April 10, 2026, 5:04 a.m.