Triple
T12056247
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilderness |
E287049
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Sedgefield |
E287050
|
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: Sedgefield | Statement: [Wilderness, locatedNear, Sedgefield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sedgefield Context triple: [Wilderness, locatedNear, Sedgefield]
-
A.
Sedgefield
chosen
Sedgefield is a coastal town in South Africa’s Western Cape, known for its tranquil beaches, nature reserves, and position along the scenic Garden Route.
-
B.
Sedgefield
Sedgefield is a parliamentary constituency in County Durham, England, best known as the long-time seat of former UK Prime Minister Tony Blair.
-
C.
Wheelerfield
Wheelerfield is a small settlement located in the Parish of St. Thomas in the East in eastern Jamaica.
-
D.
Austerfield
Austerfield is a small village in South Yorkshire, England, notable for its historic church and connections to early English history.
-
E.
Sandfield
Sandfield is the nickname of John Sandfield Macdonald, a 19th-century Canadian politician who served as the first Premier of Ontario.
- 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_69d6ab4780948190bdb9f7620c2ac27e |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d9043bf0ec8190a51ef2641808320c |
completed | April 10, 2026, 2:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f64f40388190bfb3d2a81d5fbf5e |
completed | May 2, 2026, 1:04 p.m. |
Created at: April 8, 2026, 9:47 p.m.