Triple

T25688320
Position Surface form Disambiguated ID Type / Status
Subject Sac River E644126 entity
Predicate crossedBy P416 FINISHED
Object Missouri Route 82
Missouri Route 82 is a state highway in Missouri that runs through rural areas of the state, connecting small communities and providing regional east–west travel.
 E1770877 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 82 | Statement: [Sac River, crossedBy, Missouri Route 82]
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 82
Triple: [Sac River, crossedBy, Missouri Route 82]
Generated description
Missouri Route 82 is a state highway in Missouri that runs through rural areas of the state, connecting small communities and providing regional east–west travel.

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_69e77e8046888190b07ffa58c7e2c37a completed April 21, 2026, 1:41 p.m.
NER Named-entity recognition batch_69f5fb7e9c6081908191b68c70dd5551 completed May 2, 2026, 1:26 p.m.
NED1 Entity disambiguation (via context triple) batch_6a12a7a6ff1c8190a68fe003c95ae19c completed May 24, 2026, 7:24 a.m.
NEDg Description generation batch_6a12a9ef43ac819097d5c47108692c15 completed May 24, 2026, 7:34 a.m.
NED2 Entity disambiguation (via description) batch_6a12ab2c6840819085f11be72866c959 completed May 24, 2026, 7:39 a.m.
Created at: April 21, 2026, 8:12 p.m.