Triple
T17308312
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scone High School |
E420222
|
entity |
| Predicate | town |
P3385
|
FINISHED |
| Object | Scone |
—
|
NE ONNED1 |
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: Scone | Statement: [Scone High School, town, Scone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scone Context triple: [Scone High School, town, Scone]
-
A.
Scone
Scone is a historic Scottish village best known as the traditional coronation site of Scottish kings and the location of the Stone of Scone.
-
B.
Scone
chosen
Scone is a rural town in New South Wales, Australia, known as the "Horse Capital of Australia" for its prominent thoroughbred breeding industry.
-
C.
Haggis
Haggis is a traditional Scottish savory pudding made from sheep offal, oatmeal, and spices, typically encased in a sheep’s stomach.
-
D.
Eccles cake
Eccles cake is a traditional British pastry made of flaky, buttery pastry filled with spiced currants and often enjoyed as a sweet snack or dessert.
-
E.
Ribwich
Ribwich is a fictional limited-time pork sandwich from The Simpsons’ Krusty Burger, parodying fast-food promotional items like McDonald’s McRib.
- 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_69d889d22b848190a4663d0b8f8f76e7 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43900eca88190930af0e4ec4fc0f9 |
completed | April 19, 2026, 2:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a01954cfd048190b201c5e457c2a4a2 |
in_progress | May 11, 2026, 8:37 a.m. |
Created at: April 10, 2026, 5:43 a.m.