Triple
T13880384
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River North Esk |
E333696
|
entity |
| Predicate | hasTributary |
P415
|
FINISHED |
| Object | West Water |
E101551
|
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: West Water | Statement: [River North Esk, hasTributary, West Water]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: West Water Context triple: [River North Esk, hasTributary, West Water]
-
A.
West Water
chosen
West Water is a tributary stream of the North Esk River in eastern Scotland.
-
B.
Đáy River
Đáy River is a significant river in northern Vietnam that flows through several provinces and districts, serving as an important waterway and agricultural resource.
-
C.
Springwater
Springwater is a rural township in central Ontario, Canada, known for its agricultural landscape and proximity to the city of Barrie.
-
D.
Sylvan Water
Sylvan Water is a picturesque pond within Brooklyn’s historic Green-Wood Cemetery, known for its tranquil scenery and surrounding monuments.
-
E.
Lugar Water
Lugar Water is a river in Ayrshire, Scotland, that flows through the village of Lugar and its surrounding rural landscape.
- 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_69d81c5dd2d48190b7a5fc1e009de936 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0be8566881908b8902e3cd567669 |
completed | April 14, 2026, 9:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7c711f9b08190aa5981320597e83b |
completed | May 3, 2026, 10:07 p.m. |
Created at: April 9, 2026, 10:15 p.m.