Triple

T19061634
Position Surface form Disambiguated ID Type / Status
Subject Alabama State Route 59 E466545 entity
Predicate abbreviation P43 FINISHED
Object State Route 59
State Route 59 is a primary north–south state highway in Alabama that connects inland communities to the Gulf Coast, including the popular beach destination of Gulf Shores.
 E2241965 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 59 | Statement: [Alabama State Route 59, abbreviation, State Route 59]
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 59
Triple: [Alabama State Route 59, abbreviation, State Route 59]
Generated description
State Route 59 is a primary north–south state highway in Alabama that connects inland communities to the Gulf Coast, including the popular beach destination of Gulf Shores.

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_69d8dd040fb881909af2a964f65ad208 completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5e194c854819085a0a48d22c5cebd completed April 20, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_6a40e059637881908724631a5f3e467c completed June 28, 2026, 8:50 a.m.
NEDg Description generation batch_6a40e12996ec8190955a5b3c357027c6 completed June 28, 2026, 8:54 a.m.
NED2 Entity disambiguation (via description) batch_6a40e4872fa48190b7a5e2b0497e01cf completed June 28, 2026, 9:08 a.m.
Created at: April 10, 2026, 12:03 p.m.