Triple
T22595184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Riber Castle Wildlife Park |
E574658
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Riber |
—
|
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: Riber | Statement: [Riber Castle Wildlife Park, locatedIn, Riber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Riber Context triple: [Riber Castle Wildlife Park, locatedIn, Riber]
-
A.
Riber
chosen
Riber is the namesake locality in Derbyshire, England, best known for giving its name to the historic hilltop Riber Castle overlooking Matlock.
-
B.
La River
La River is a significant waterway in north-central Vietnam that flows through Hà Tĩnh Province and plays an important role in the region’s agriculture and local livelihoods.
-
C.
You River
The You River is a tributary waterway in southern China that feeds into the larger Yuan River system.
-
D.
La Rive
La Rive is a renowned fine-dining restaurant located within Amsterdam’s historic Amstel Hotel, known for its elegant cuisine and riverside setting.
-
E.
Rhêmes river
The Rhêmes river is a mountain stream in Italy’s Aosta Valley that flows through the alpine Val di Rhêmes.
- 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_69e245bc11308190b69d794d5d1e0bb6 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f16164d690819096f7c4efb6cedad9 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 2:49 p.m.