Triple

T21321256
Position Surface form Disambiguated ID Type / Status
Subject California State Route 132 E525620 entity
Predicate abbreviation P43 FINISHED
Object SR 132
SR 132 is a state highway in California that runs east–west through the Central Valley, connecting the city of Modesto to surrounding rural and regional routes.
 E1481554 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 132 | Statement: [California State Route 132, abbreviation, SR 132]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SR 132
Context triple: [California State Route 132, abbreviation, SR 132]
  • 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 131
    SR 131 is a short primary state highway in Virginia that serves as a connector route within the state's road network.
  • D. 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.
  • E. 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.
  • 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 132
Triple: [California State Route 132, abbreviation, SR 132]
Generated description
SR 132 is a state highway in California that runs east–west through the Central Valley, connecting the city of Modesto to surrounding rural and regional routes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SR 132
Target entity description: SR 132 is a state highway in California that runs east–west through the Central Valley, connecting the city of Modesto to surrounding rural and regional routes.
  • 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 131
    SR 131 is a short primary state highway in Virginia that serves as a connector route within the state's road network.
  • D. 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.
  • E. 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.
  • 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_69e0b51ad810819098c12392c8e55f6c completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e77ed1538c8190954da114e49dfa36 completed April 21, 2026, 1:42 p.m.
NED1 Entity disambiguation (via context triple) batch_6a09b4122eb48190bcfccba3e1b2e9c3 completed May 17, 2026, 12:26 p.m.
NEDg Description generation batch_6a09b4e8562c8190b3f4eff6dc8c09b5 completed May 17, 2026, 12:30 p.m.
NED2 Entity disambiguation (via description) batch_6a09b79237908190bf90b4316b58c7b1 completed May 17, 2026, 12:41 p.m.
Created at: April 16, 2026, 4:39 p.m.