Triple

T15353684
Position Surface form Disambiguated ID Type / Status
Subject SR 193 E367117 entity
Predicate connectsTo P845 FINISHED
Object SR 123
SR 123 is a state highway route, likely part of a regional road network in the same area as SR 193.
E1152442 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 123 | Statement: [SR 193, connectsTo, SR 123]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SR 123
Context triple: [SR 193, connectsTo, SR 123]
  • A. 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.
  • B. SR 112
    SR 112 is a state highway in Maine that serves as a regional connector route between several communities in the southern part of the state.
  • C. SR 183
    SR 183 is a state highway in Maine that serves as a local connector route within the state's road network.
  • D. SR 163
    SR 163 is a major north–south freeway in San Diego, California, connecting downtown with the inland freeway network and passing through Balboa Park.
  • E. SR 132
    SR 132 is a state highway in Maine that connects several small communities and links with other major regional routes.
  • 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 123
Triple: [SR 193, connectsTo, SR 123]
Generated description
SR 123 is a state highway route, likely part of a regional road network in the same area as SR 193.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SR 123
Target entity description: SR 123 is a state highway route, likely part of a regional road network in the same area as SR 193.
  • A. 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.
  • B. SR 112
    SR 112 is a state highway in Maine that serves as a regional connector route between several communities in the southern part of the state.
  • C. SR 183
    SR 183 is a state highway in Maine that serves as a local connector route within the state's road network.
  • D. SR 163
    SR 163 is a major north–south freeway in San Diego, California, connecting downtown with the inland freeway network and passing through Balboa Park.
  • E. SR 132
    SR 132 is a state highway in Maine that connects several small communities and links with other major regional routes.
  • 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_69d85a1355608190a6673ddb67231d54 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e2a8e88819093e4b7479b2c80cd completed April 16, 2026, 1:40 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff0b43bfcc8190b1b373ee10786f1e completed May 9, 2026, 10:24 a.m.
NEDg Description generation batch_69ff0bd62b308190b835ec76aba4b8cc completed May 9, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_69ff0c3e7b848190942cfa9d4b7bbd4c completed May 9, 2026, 10:28 a.m.
Created at: April 10, 2026, 3:18 a.m.