Triple

T30812418
Position Surface form Disambiguated ID Type / Status
Subject Missouri Route 364 E784681 entity
Predicate alsoKnownAs P39 FINISHED
Object Page Avenue Extension
Page Avenue Extension is a major freeway corridor in the St. Louis, Missouri metropolitan area that provides an important east–west route through St. Louis and St. Charles counties.
 E2295039 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: Page Avenue Extension | Statement: [Missouri Route 364, alsoKnownAs, Page Avenue Extension]
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: Page Avenue Extension
Triple: [Missouri Route 364, alsoKnownAs, Page Avenue Extension]
Generated description
Page Avenue Extension is a major freeway corridor in the St. Louis, Missouri metropolitan area that provides an important east–west route through St. Louis and St. Charles counties.

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_69f224b4eda48190bd212ce4f3901e56 completed April 29, 2026, 3:33 p.m.
NER Named-entity recognition batch_69f6906564448190972c23b8344bc373 completed May 3, 2026, 12:01 a.m.
NED1 Entity disambiguation (via context triple) batch_6a7cf6a6cc0c8190b5fe5c9a8ed2349e completed Aug. 12, 2026, 10:41 p.m.
NEDg Description generation batch_6a7cf8e1b90c8190bb1f0db54361ebe1 completed Aug. 12, 2026, 10:51 p.m.
NED2 Entity disambiguation (via description) batch_6a7cf98c6bd08190ae056ed17de8b9c6 completed Aug. 12, 2026, 10:54 p.m.
Created at: April 29, 2026, 8:43 p.m.