Triple

T35863326
Position Surface form Disambiguated ID Type / Status
Subject Dora, Missouri, United States E1037012 entity
Predicate locatedOnHighway P385 FINISHED
Object Missouri Route 181
Missouri Route 181 is a state highway in southern Missouri that runs through the Ozarks, connecting small rural communities and providing access to nearby natural and recreational areas.
E2160772 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: Missouri Route 181 | Statement: [Dora, Missouri, United States, locatedOnHighway, Missouri Route 181]
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: Missouri Route 181
Triple: [Dora, Missouri, United States, locatedOnHighway, Missouri Route 181]
Generated description
Missouri Route 181 is a state highway in southern Missouri that runs through the Ozarks, connecting small rural communities and providing access to nearby natural and recreational areas.

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_69f76e1d279c8190843e5b64a0a12c3f completed May 3, 2026, 3:47 p.m.
NER Named-entity recognition batch_69f7a9776ff081908f593cc3b642bc97 completed May 3, 2026, 8 p.m.
NED1 Entity disambiguation (via context triple) batch_6a38ae1b5e50819080d7fae5fbe29294 completed June 22, 2026, 3:38 a.m.
NEDg Description generation batch_6a38aea905748190981128825afb9fbe completed June 22, 2026, 3:40 a.m.
NED2 Entity disambiguation (via description) batch_6a38af0c461c8190a7332d1709b5553c completed June 22, 2026, 3:42 a.m.
Created at: May 3, 2026, 4:06 p.m.