Triple
T21354031
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dalmellington |
E526563
|
entity |
| Predicate | hasPostTown |
P2711
|
FINISHED |
| Object | AYR |
—
|
NE NERFINISHED |
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: AYR | Statement: [Dalmellington, hasPostTown, AYR]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AYR Context triple: [Dalmellington, hasPostTown, AYR]
-
A.
Ayr
Ayr is a rural town in North Queensland, Australia, known for its sugarcane farming and proximity to the Burdekin River.
-
B.
Ayr
Ayr is a prominent subclan of the Habr Gedir branch of the Hawiye Somali clan-family, influential in central and southern Somalia.
-
C.
Ayr
chosen
Ayr is a coastal town in southwest Scotland known for its historic seafront, links to poet Robert Burns, and role as a regional administrative and commercial center.
-
D.
Aberdeen
Aberdeen is a small rural town in the Upper Hunter region of New South Wales, Australia, known historically for its agricultural and meat-processing industries.
-
E.
Aberdeen
Aberdeen is a small city in northeastern South Dakota known as a regional hub for agriculture, education, and rail transport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51cd5cc81909ac1187971e8a8ad |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8af9aa9508190b756cc8e07084c8e |
completed | April 22, 2026, 11:23 a.m. |
Created at: April 16, 2026, 5:05 p.m.