Triple

T24901097
Position Surface form Disambiguated ID Type / Status
Subject Franklin, Ohio E623578 entity
Predicate transportation P230 FINISHED
Object State Route 123
State Route 123 is a state highway in southwestern Ohio that connects the city of Franklin with other nearby communities and regional routes.
 E2291344 NE FINISHED

How this triple was built (2 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: State Route 123 | Statement: [Franklin, Ohio, transportation, State Route 123]
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: State Route 123
Triple: [Franklin, Ohio, transportation, State Route 123]
Generated description
State Route 123 is a state highway in southwestern Ohio that connects the city of Franklin with other nearby communities and regional routes.

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_69e2fac797cc8190b30d77f4121099ac completed April 18, 2026, 3:30 a.m.
NER Named-entity recognition batch_69f423667c788190898074ad4420e456 completed May 1, 2026, 3:52 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5c4c16270081908881b45c125988d5 completed July 19, 2026, 4:01 a.m.
NEDg Description generation batch_6a5c4cc1535c8190903a24a9ab3d5f2a completed July 19, 2026, 4:04 a.m.
NED2 Entity disambiguation (via description) batch_6a5c4d6898448190aa327fcc5ceb7e96 completed July 19, 2026, 4:07 a.m.
Created at: April 18, 2026, 5:27 a.m.