Triple
T12658888
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Burns, Oregon |
E302361
|
entity |
| Predicate | foundedAs |
P364
|
FINISHED |
| Object |
Burns
Burns is a small city in Harney County, eastern Oregon, known as a remote high-desert community and regional service center for the surrounding ranching and natural resource areas.
|
E996004
|
NE FINISHED |
How this triple was built (4 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: Burns | Statement: [Burns, Oregon, foundedAs, Burns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Burns Context triple: [Burns, Oregon, foundedAs, Burns]
-
A.
Burns
Burns is a common Scottish surname most famously associated with the poet Robert Burns.
-
B.
Burns
Burns is an electronic music producer and DJ known for his work in dance and pop music, including collaborations with major artists.
-
C.
Burned
Burned is a mystery novel by American author Carol Higgins Clark, featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
-
D.
Burn
Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
-
E.
Burn
Burn is the abbreviated name of the former Major League Soccer team Dallas Burn, now known as FC Dallas.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Burns Triple: [Burns, Oregon, foundedAs, Burns]
Generated description
Burns is a small city in Harney County, eastern Oregon, known as a remote high-desert community and regional service center for the surrounding ranching and natural resource areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Burns Target entity description: Burns is a small city in Harney County, eastern Oregon, known as a remote high-desert community and regional service center for the surrounding ranching and natural resource areas.
-
A.
Burns
Burns is a common Scottish surname most famously associated with the poet Robert Burns.
-
B.
Burns
Burns is an electronic music producer and DJ known for his work in dance and pop music, including collaborations with major artists.
-
C.
Burned
Burned is a mystery novel by American author Carol Higgins Clark, featuring her recurring sleuth Regan Reilly in a suspenseful, lighthearted whodunit.
-
D.
Burn
Burn is the first name of Burn Gorman, a British-American actor known for roles in productions such as "Torchwood," "Game of Thrones," and "Pacific Rim."
-
E.
Burn
Burn is a young adult fantasy novel by Patrick Ness that blends dragons, Cold War-era tensions, and themes of prejudice and destiny in a small 1950s American town.
- F. None of above. chosen
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_69d7bded71a88190bb76e2413af9ea66 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d961636db8819099c438b24bcfd866 |
completed | April 10, 2026, 8:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f66885e44c8190a650301b0e86d0f4 |
completed | May 2, 2026, 9:11 p.m. |
| NEDg | Description generation | batch_69f66a602f088190984fa3381b5be944 |
completed | May 2, 2026, 9:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f66b18e68881908bf79ab52bcc909e |
completed | May 2, 2026, 9:22 p.m. |
Created at: April 9, 2026, 5:19 p.m.