Triple
T20303944
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Dulais |
E505557
|
entity |
| Predicate | flowsNear |
P350
|
FINISHED |
| Object | Seven Sisters |
—
|
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: Seven Sisters | Statement: [River Dulais, flowsNear, Seven Sisters]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seven Sisters Context triple: [River Dulais, flowsNear, Seven Sisters]
-
A.
Seven Sisters
Seven Sisters is the common name for the Pleiades, a prominent open star cluster in the constellation Taurus visible to the naked eye.
-
B.
Seven Sisters
Seven Sisters is a district in North London known for its diverse community, busy transport hub, and vibrant high street.
-
C.
Seven Sisters
The Seven Sisters are a historic group of elite, traditionally women’s liberal arts colleges in the Northeastern United States, founded to provide an education comparable to that of the Ivy League.
-
D.
Seven Sisters
chosen
Seven Sisters is a former coal mining village and community in Neath Port Talbot, Wales.
-
E.
Seven Sisters
Seven Sisters is a striking series of white chalk sea cliffs on the English Channel coast in East Sussex, England, renowned for their dramatic scenery and iconic views.
- 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_69e0b4b8ab648190906e18538c250148 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6773ed3248190ba949ec941e8d41f |
completed | April 20, 2026, 6:58 p.m. |
Created at: April 16, 2026, 11:17 a.m.