Triple
T15721565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Welwyn |
E381106
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object | River Mimram |
—
|
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: River Mimram | Statement: [Welwyn, locatedOn, River Mimram]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: River Mimram Context triple: [Welwyn, locatedOn, River Mimram]
-
A.
River Mimram
chosen
The River Mimram is a chalk stream in Hertfordshire, England, known for its clear waters and rural valley landscapes.
-
B.
Humaya River
The Humaya River is a significant waterway in the Mexican state of Sinaloa that flows through and helps form the city of Culiacán.
-
C.
Mahur River
Mahur River is a river flowing through the hilly Dima Hasao district in the Indian state of Assam.
-
D.
Sirba River
The Sirba River is a significant West African waterway that flows through Burkina Faso and Niger before joining the Niger River, contributing notably to its hydrology and seasonal flooding.
-
E.
Nyamiha River
The Nyamiha River is a small, historically significant waterway in Minsk, Belarus, now largely confined to underground culverts beneath the city.
- 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_69d86d9bf930819082b30cf6d169297c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04fb0b51081908e652ec4992296fa |
completed | April 16, 2026, 2:55 a.m. |
Created at: April 10, 2026, 4:45 a.m.