Triple

T17210862
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 223 E417724 entity
Predicate abbreviation P43 FINISHED
Object ME 223
ME 223 is a short state highway in Maine that serves as a local connector route between nearby communities.
 E1255370 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 223 | Statement: [Maine State Route 223, abbreviation, ME 223]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 223
Context triple: [Maine State Route 223, abbreviation, ME 223]
  • A. ME 222
    ME 222 is a state highway in Maine that serves as a regional connector route between local communities.
  • B. ME 221
    ME 221 is a state highway in Maine that serves as a local connector route within the state's road network.
  • C. 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.
  • D. ME 225
    ME 225 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
  • 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 223
Triple: [Maine State Route 223, abbreviation, ME 223]
Generated description
ME 223 is a short state highway in Maine that serves as a local connector route between nearby communities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME 223
Target entity description: ME 223 is a short state highway in Maine that serves as a local connector route between nearby communities.
  • A. ME 222
    ME 222 is a state highway in Maine that serves as a regional connector route between local communities.
  • B. ME 221
    ME 221 is a state highway in Maine that serves as a local connector route within the state's road network.
  • C. 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.
  • D. ME 225
    ME 225 is a state highway in Maine that serves as a short connector route between local communities and larger regional roads.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42dc5a51481908d5ea0f9a1e9aa8b completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a015fe217308190b6ae1e98d0c421e4 completed May 11, 2026, 4:49 a.m.
NEDg Description generation batch_6a0160e95f1481908058aed285968991 completed May 11, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_6a01617888ac8190af2a91a4bd28b402 completed May 11, 2026, 4:56 a.m.
Created at: April 10, 2026, 5:38 a.m.