Triple
T7534502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Lee |
E178112
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Lee Valley |
E259372
|
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: Lee Valley | Statement: [River Lee, flowsThrough, Lee Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lee Valley Context triple: [River Lee, flowsThrough, Lee Valley]
-
A.
Lee Valley
chosen
Lee Valley is a low-lying corridor in southeast England known for its mix of urban development, parkland, and waterways, forming a major recreational and ecological landscape along the lower River Lea.
-
B.
Lee Valley
Lee Valley is a scenic river valley in County Cork, Ireland, known for its rolling countryside, historic towns, and the course of the River Lee.
-
C.
Perkiomen Valley
Perkiomen Valley is a region in southeastern Pennsylvania characterized by its rolling landscapes, suburban communities, and the Perkiomen Creek running through it.
-
D.
Lore Valley
Lore Valley is a region where the Bada language is natively spoken, forming a key part of the language’s cultural and geographic heartland.
-
E.
Deep Valley
Deep Valley is a 1947 American drama film in which Anne Revere delivered one of her notable screen performances.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84a9d28819084ebfc44fcb2c29c |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f0765b48190b8df68f22c8901f4 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:47 p.m.