Triple
T13456138
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grey Mare’s Tail Nature Reserve |
E311236
|
entity |
| Predicate | watercourse |
P415
|
FINISHED |
| Object | Tail Burn |
E311237
|
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: Tail Burn | Statement: [Grey Mare’s Tail Nature Reserve, watercourse, Tail Burn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tail Burn Context triple: [Grey Mare’s Tail Nature Reserve, watercourse, Tail Burn]
-
A.
Tail Burn
chosen
Tail Burn is a stream in southern Scotland that flows through the Grey Mare’s Tail waterfall and its surrounding valley.
-
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.
Burns
Burns is a common Scottish surname most famously associated with the poet Robert Burns.
-
D.
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.
-
E.
Burning
Burning is a critically acclaimed 2018 South Korean psychological mystery drama film directed by Lee Chang-dong, noted for its slow-burn storytelling and ambiguous, haunting narrative.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaefc52448190b30d7999f44a9765 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7399e33008190b10c14f30ff0c0d2 |
completed | May 3, 2026, 12:03 p.m. |
Created at: April 9, 2026, 9:41 p.m.