Triple
T13081725
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Chew |
E310222
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Chew Magna |
E186793
|
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: Chew Magna | Statement: [River Chew, flowsThrough, Chew Magna]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chew Magna Context triple: [River Chew, flowsThrough, Chew Magna]
-
A.
Chew Magna
chosen
Chew Magna is a historic village and civil parish in Somerset, England, known for its medieval church, traditional architecture, and location near Chew Valley Lake.
-
B.
Chew
Chew is a personal middle name used by Sophia Chew Nicklin Dallas.
-
C.
Baiju
Baiju was a 13th-century Mongol general who led Mongol forces in their campaigns into Eastern Europe.
-
D.
Tobo
Tobo is a small locality in eastern Sweden situated within Tierp Municipality in Uppsala County.
-
E.
Sideshow Mel
Sideshow Mel is a recurring character on The Simpsons, known as Krusty the Clown’s bone-wielding, theatrically dramatic sidekick and show announcer.
- 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_69d806a733548190989cfd4ce981ca33 |
completed | April 9, 2026, 8:05 p.m. |
| NER | Named-entity recognition | batch_69d9811add9881908a92186dab5b6d48 |
completed | April 10, 2026, 11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6d60e7b48819087e4583a5736c1df |
completed | May 3, 2026, 4:58 a.m. |
Created at: April 9, 2026, 9:01 p.m.