Triple

T10278734
Position Surface form Disambiguated ID Type / Status
Subject Maine State Route 133 E241036 entity
Predicate abbreviation P43 FINISHED
Object SR 133
SR 133 is a state highway in Maine that connects several central Maine communities and serves as a regional north–south transportation route.
 E854928 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: SR 133 | Statement: [Maine State Route 133, abbreviation, SR 133]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SR 133
Context triple: [Maine State Route 133, abbreviation, SR 133]
  • A. SR 132
    SR 132 is a state highway in Maine that connects several small communities and links with other major regional routes.
  • B. SR 131
    SR 131 is a state highway in Maine that runs through Knox and Waldo counties, connecting several coastal and inland communities.
  • C. SR 113
    SR 113 is a state highway in northern Ohio that runs east–west through several counties, connecting rural areas with small towns and cities.
  • D. SR 134
    SR 134 is a state highway designation used for specific numbered routes within a U.S. state's road network.
  • E. SR 13
    SR 13 is a north–south state highway in Ohio that runs between the city of Mansfield and the village of Huron, passing through several counties in the north-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: SR 133
Triple: [Maine State Route 133, abbreviation, SR 133]
Generated description
SR 133 is a state highway in Maine that connects several central Maine communities and serves as a regional north–south transportation route.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SR 133
Target entity description: SR 133 is a state highway in Maine that connects several central Maine communities and serves as a regional north–south transportation route.
  • A. SR 132
    SR 132 is a state highway in Maine that connects several small communities and links with other major regional routes.
  • B. SR 131
    SR 131 is a state highway in Maine that runs through Knox and Waldo counties, connecting several coastal and inland communities.
  • C. SR 113
    SR 113 is a state highway in northern Ohio that runs east–west through several counties, connecting rural areas with small towns and cities.
  • D. SR 134
    SR 134 is a state highway designation used for specific numbered routes within a U.S. state's road network.
  • E. SR 13
    SR 13 is a north–south state highway in Ohio that runs between the city of Mansfield and the village of Huron, passing through several counties in the north-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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d29fdf2c819099dd581deac08cf2 completed April 7, 2026, 9:47 a.m.
NED1 Entity disambiguation (via context triple) batch_69d71cf7f644819085dd687b286004ad completed April 9, 2026, 3:28 a.m.
NEDg Description generation batch_69d73180d90481908f1b4768230edd36 completed April 9, 2026, 4:56 a.m.
NED2 Entity disambiguation (via description) batch_69d7326b14988190bff33dc01e690707 completed April 9, 2026, 5 a.m.
Created at: April 6, 2026, 11:38 a.m.