Triple
T578367
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RSPB Hoy reserve |
E15005
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | Hoy |
E15005
|
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: Hoy | Statement: [RSPB Hoy reserve, locatedOn, Hoy]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hoy Context triple: [RSPB Hoy reserve, locatedOn, Hoy]
-
A.
Hoy
chosen
Hoy is one of the larger islands of the Orkney archipelago in Scotland, known for its dramatic sea cliffs, rugged landscapes, and notable sea stack the Old Man of Hoy.
-
B.
Ayer
Ayer is a small town in north-central Massachusetts that functions as a regional commuter hub with rail connections to Boston.
-
C.
Madruga
Madruga is a municipality in western Cuba known for its rural character and location within the historical region surrounding Havana.
-
D.
El Jaleo
El Jaleo is a dramatic 1882 painting by John Singer Sargent depicting a Spanish gypsy dancer performing with musicians in a shadowy, theatrical setting.
-
E.
Beautiful Day
"Beautiful Day" is a Grammy-winning rock anthem by Irish band U2, known for its uplifting lyrics and soaring, atmospheric sound.
- 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_69a4935783b8819082b77726ec10cc42 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a49b69fed88190b5558d4ebd5047a1 |
completed | March 1, 2026, 8:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a50e23bce481908404040b848ba9c1 |
completed | March 2, 2026, 4:12 a.m. |
Created at: March 1, 2026, 7:33 p.m.