Triple

T22828898
Position Surface form Disambiguated ID Type / Status
Subject Garfield County, Montana E565742 entity
Predicate borders P224 FINISHED
Object Petroleum County, Montana
Petroleum County, Montana is a sparsely populated rural county in central Montana known for its ranching, open prairie landscapes, and namesake oil resources.
E1779487 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: Petroleum County, Montana | Statement: [Garfield County, Montana, borders, Petroleum County, Montana]
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: Petroleum County, Montana
Triple: [Garfield County, Montana, borders, Petroleum County, Montana]
Generated description
Petroleum County, Montana is a sparsely populated rural county in central Montana known for its ranching, open prairie landscapes, and namesake oil resources.

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_69e24585ab1c81909b2b5065d15805d5 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17e2a0e308190941064965346f890 completed April 29, 2026, 3:42 a.m.
NED1 Entity disambiguation (via context triple) batch_6a12d0a179d081909d8e3369afb277f0 completed May 24, 2026, 10:19 a.m.
NEDg Description generation batch_6a12d169e8888190bf3c8e7f0718a3a5 completed May 24, 2026, 10:22 a.m.
NED2 Entity disambiguation (via description) batch_6a12d270e0dc81909c04761a32c1e652 completed May 24, 2026, 10:26 a.m.
Created at: April 17, 2026, 3:34 p.m.