Triple
T7990042
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leicestershire |
E185975
|
entity |
| Predicate | hasRiver |
P165
|
FINISHED |
| Object | River Wreake |
E457930
|
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: River Wreake | Statement: [Leicestershire, hasRiver, River Wreake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Wreake Context triple: [Leicestershire, hasRiver, River Wreake]
-
A.
River Wreake
chosen
River Wreake is a small river in Leicestershire, England, known for flowing through the Wreake Valley and joining the River Soar near Syston.
-
B.
Ravage
Ravage is a Decepticon spy and attack beast in the Transformers franchise, typically depicted as a stealthy, feline-like robot that specializes in infiltration and reconnaissance.
-
C.
Marrowbone
Marrowbone is a 2017 psychological horror-thriller film about a group of siblings hiding dark family secrets in a decaying rural mansion.
-
D.
Sea of Thirst
Sea of Thirst is a vast, dust-filled lunar basin in Arthur C. Clarke’s science fiction novel "A Fall of Moondust," serving as the perilous setting for the story’s central disaster.
-
E.
The Killing Ground
The Killing Ground is a thriller novel by Jack Higgins featuring his recurring character Sean Dillon in a high-stakes tale of terrorism, kidnapping, and covert operations.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c4f98808190879113ad4af9bb4d |
completed | March 31, 2026, 3:15 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cbe0f5c22881908044a178d670684c |
completed | March 31, 2026, 2:57 p.m. |
Created at: March 30, 2026, 5:16 p.m.