Triple

T31094190
Position Surface form Disambiguated ID Type / Status
Subject Florida State Road 429 E792480 entity
Predicate formsBeltwayWith P6653 FINISHED
Object Florida State Road 451
Florida State Road 451 is a short toll highway in Central Florida that serves as a connector route feeding traffic between local roads and the larger beltway system around the Orlando area.
E1967455 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: Florida State Road 451 | Statement: [Florida State Road 429, formsBeltwayWith, Florida State Road 451]
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: Florida State Road 451
Triple: [Florida State Road 429, formsBeltwayWith, Florida State Road 451]
Generated description
Florida State Road 451 is a short toll highway in Central Florida that serves as a connector route feeding traffic between local roads and the larger beltway system around the Orlando area.

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_69f224cf157c81909e2d2bd88c9282c3 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6966d30d08190b058c5d689eae3da completed May 3, 2026, 12:27 a.m.
NED1 Entity disambiguation (via context triple) batch_6a2b2d5eec408190936ed57cc54c2780 completed June 11, 2026, 9:49 p.m.
NEDg Description generation batch_6a2b31290c388190bd7d4a9762fa82c6 completed June 11, 2026, 10:05 p.m.
NED2 Entity disambiguation (via description) batch_6a2b3232bba08190a23e64699f370fbb completed June 11, 2026, 10:09 p.m.
Created at: April 29, 2026, 9:03 p.m.