Triple

T23267652
Position Surface form Disambiguated ID Type / Status
Subject Missouri Route 19 E588197 entity
Predicate passesThrough P225 FINISHED
Object Crawford County, Missouri
Crawford County, Missouri is a rural county in the Ozark region of the state, known for its forests, rivers, and outdoor recreation areas such as parts of the Mark Twain National Forest.
E2289809 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: Crawford County, Missouri | Statement: [Missouri Route 19, passesThrough, Crawford County, Missouri]
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: Crawford County, Missouri
Triple: [Missouri Route 19, passesThrough, Crawford County, Missouri]
Generated description
Crawford County, Missouri is a rural county in the Ozark region of the state, known for its forests, rivers, and outdoor recreation areas such as parts of the Mark Twain National Forest.

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_69e25d148adc819088efbf42672604e9 completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19570fcc0819091df22140828155b completed April 29, 2026, 5:21 a.m.
NED1 Entity disambiguation (via context triple) batch_6a5b704f0cfc819084ac05ef1554ce50 completed July 18, 2026, 12:23 p.m.
NEDg Description generation batch_6a5b70dc092481909c7bd3840b00ebdf completed July 18, 2026, 12:26 p.m.
NED2 Entity disambiguation (via description) batch_6a5b7123b04c8190bb955e1d2f04a01e completed July 18, 2026, 12:27 p.m.
Created at: April 17, 2026, 4:41 p.m.