Triple
T21599693
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Montana Hi-Line |
E533001
|
entity |
| Predicate | passesThrough |
P225
|
FINISHED |
| Object |
Daniels County, Montana
Daniels County, Montana is a sparsely populated agricultural county in northeastern Montana, located along the state's Hi-Line near the Canadian border.
|
E1735903
|
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: Daniels County, Montana | Statement: [Montana Hi-Line, passesThrough, Daniels 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: Daniels County, Montana Triple: [Montana Hi-Line, passesThrough, Daniels County, Montana]
Generated description
Daniels County, Montana is a sparsely populated agricultural county in northeastern Montana, located along the state's Hi-Line near the Canadian border.
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_69e0c46364608190a337dc8720dc2a35 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eefae4746c819090afe1d93fe9f175 |
completed | April 27, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a11ebe189408190a1aa02b093912dcb |
completed | May 23, 2026, 6:03 p.m. |
| NEDg | Description generation | batch_6a11ef2bf6fc81908c9073c3deca6ebf |
completed | May 23, 2026, 6:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a11ef8994048190aca5d61de927d20c |
completed | May 23, 2026, 6:18 p.m. |
Created at: April 16, 2026, 6:32 p.m.