Triple
T18728334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Leen |
E457965
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Leen |
—
|
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: Leen | Statement: [River Leen, name, Leen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Leen Context triple: [River Leen, name, Leen]
-
A.
Leen
chosen
Leen is the name of a river in Nottinghamshire, England, known as the River Leen, which flows through the city of Nottingham before joining the River Trent.
-
B.
Leens
Leens is a village in the Dutch province of Groningen, located within the municipality of Het Hogeland.
-
C.
Léez
Léez is a river in southwestern France that serves as a tributary within the Gave de Pau river system.
-
D.
Jelle
Jelle is a Dutch given name commonly used for males, particularly in the Netherlands and Friesland.
-
E.
Lela
Lela is a feminine given name used in various cultures, often as a variant of Leila or Layla.
- 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_69d8d393ba9c8190a8b03b04ddbb0a09 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56d759a288190855ade3756e03e04 |
completed | April 20, 2026, 12:04 a.m. |
Created at: April 10, 2026, 11:50 a.m.