Triple

T11132455
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 143 E263318 entity
Predicate abbreviation P43 FINISHED
Object ME 143
ME 143 is a state highway in Maine that serves as a local connector route between small communities in the region.
 E907838 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 143 | Statement: [Maine State Route 143, abbreviation, ME 143]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ME 143
Context triple: [Maine State Route 143, abbreviation, ME 143]
  • A. ME 139
    ME 139 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • B. ME 136
    ME 136 is a state highway in Maine that connects several communities in the southern part of the state and serves as a regional commuter and connector route.
  • C. ME 132
    ME 132 is a state highway in Maine that serves as a regional connector route between local communities.
  • D. ME 133
    ME 133 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • E. ME 135
    ME 135 is a state highway in Maine that serves as a regional connector route between local communities.
  • 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 143
Triple: [Maine State Route 143, abbreviation, ME 143]
Generated description
ME 143 is a state highway in Maine that serves as a local connector route between small communities in the region.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ME 143
Target entity description: ME 143 is a state highway in Maine that serves as a local connector route between small communities in the region.
  • A. ME 139
    ME 139 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • B. ME 136
    ME 136 is a state highway in Maine that connects several communities in the southern part of the state and serves as a regional commuter and connector route.
  • C. ME 132
    ME 132 is a state highway in Maine that serves as a regional connector route between local communities.
  • D. ME 133
    ME 133 is a state highway in Maine that serves as a regional connector route between several central Maine communities.
  • E. ME 135
    ME 135 is a state highway in Maine that serves as a regional connector route between local communities.
  • 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_69d6aa9c0ba08190bbd19c217489b755 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e8347a248190837e8c26f25f553a completed April 9, 2026, 5:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69e441e6b72881908f8288e99df0cb7c completed April 19, 2026, 2:45 a.m.
NEDg Description generation batch_69e44c09163481909d6a469b1e50b6ff completed April 19, 2026, 3:29 a.m.
NED2 Entity disambiguation (via description) batch_69e4519f4d408190be9863c72006ecad completed April 19, 2026, 3:53 a.m.
Created at: April 8, 2026, 9:28 p.m.