Triple
T29365675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bere Ferrers |
E744710
|
entity |
| Predicate | locatedOnPeninsulaBetween |
P10961
|
FINISHED |
| Object | River Tavy and River Tamar |
—
|
LITERAL 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: River Tavy and River Tamar | Statement: [Bere Ferrers, locatedOnPeninsulaBetween, River Tavy and River Tamar]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedOnPeninsulaBetween Context triple: [Bere Ferrers, locatedOnPeninsulaBetween, River Tavy and River Tamar]
-
A.
locatedOnPeninsula
chosen
Indicates that one entity is situated on or within the geographic area of a peninsula.
-
B.
peninsulaBetween
Indicates that one landmass forms a peninsula situated between two other geographic entities, separating or partially separating them.
-
C.
locatedOnIslandOrPeninsula
Indicates that something is situated on an island or on a peninsula, rather than on a mainland area.
-
D.
isPartOfPeninsula
Indicates that one geographic entity is located within and forms a component of a larger peninsula.
-
E.
containsPeninsula
Indicates that one geographic region fully or partially includes a landform that is a peninsula within its boundaries.
- F. None of above.
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_69f0a79ba954819094597628112c6091 |
completed | April 28, 2026, 12:27 p.m. |
| NER | Named-entity recognition | batch_6a002249ee388190a9501ee7630dc658 |
completed | May 10, 2026, 6:14 a.m. |
| PD | Predicate disambiguation | batch_6a002189273881909b6b687e2d61f5b1 |
completed | May 10, 2026, 6:11 a.m. |
Created at: April 28, 2026, 2:22 p.m.