Triple
T3701432
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Darent |
E78586
|
entity |
| Predicate | region |
P40
|
FINISHED |
| Object | Darent Valley |
E78586
|
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: Darent Valley | Statement: [River Darent, region, Darent Valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Darent Valley Context triple: [River Darent, region, Darent Valley]
-
A.
Rainford Brook
Rainford Brook is a small watercourse in northwestern England that serves as a tributary feeding into the River Sankey.
-
B.
Dagenham Brook
Dagenham Brook is a minor watercourse in East London that serves as a tributary of the River Lea, flowing through parts of the London Borough of Waltham Forest.
-
C.
River Darent
chosen
River Darent is a chalk stream river in Kent, England, flowing north through the Darent Valley to join the River Thames.
-
D.
River Lea
The River Lea is a major tributary of the River Thames in southeast England, flowing through Bedfordshire, Hertfordshire, and Greater London and historically supporting navigation, industry, and water supply for the region.
-
E.
Werse
The Werse is a river in North Rhine-Westphalia, Germany, known for flowing through the Münster region before joining the Ems.
- 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_69ad85e3b1888190abc983e06968696d |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adc547c1848190a1ece46c59b7c43d |
completed | March 8, 2026, 6:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4e9959881908b29fd6c5e344169 |
completed | March 14, 2026, 4:32 a.m. |
Created at: March 8, 2026, 3:26 p.m.