Triple

T25016308
Position Surface form Disambiguated ID Type / Status
Subject Guthrie, Missouri E626141 entity
Predicate locatedOn P40 FINISHED
Object Missouri Route J
Missouri Route J is a minor state highway in Missouri that serves local communities such as Guthrie and connects them to nearby regional routes.
E1706525 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 J | Statement: [Guthrie, Missouri, locatedOn, Missouri Route J]
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 J
Triple: [Guthrie, Missouri, locatedOn, Missouri Route J]
Generated description
Missouri Route J is a minor state highway in Missouri that serves local communities such as Guthrie and connects them to nearby regional routes.

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_69e2ff27755881908490178e83701160 completed April 18, 2026, 3:48 a.m.
NER Named-entity recognition batch_69f44ba594a08190beb28ace68e1e120 completed May 1, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_6a111ade2a1c8190a1c5e79009f89664 completed May 23, 2026, 3:11 a.m.
NEDg Description generation batch_6a111b8972c8819098e58a3403b7dec9 completed May 23, 2026, 3:14 a.m.
NED2 Entity disambiguation (via description) batch_6a111c84387481909caa6fbfbb38d855 completed May 23, 2026, 3:18 a.m.
Created at: April 18, 2026, 6:06 a.m.