Triple
T9410997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Frampton on Severn |
E226705
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Saul |
E797998
|
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: Saul | Statement: [Frampton on Severn, locatedNear, Saul]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saul Context triple: [Frampton on Severn, locatedNear, Saul]
-
A.
Saul
Saul is a surname most notably associated with Canadian philosopher and writer John Ralston Saul.
-
B.
Saul
Saul is the first king of Israel in the Hebrew Bible, known for his tumultuous reign and complex relationship with the prophet Samuel and his successor David.
-
C.
Saul
chosen
Saul is a small village in Gloucestershire, England, known for its proximity to the Gloucester and Sharpness Canal and the nearby Saul Junction.
-
D.
Jonathan son of Saul
Jonathan son of Saul was a valiant Israelite prince and close friend of David, renowned for his loyalty, courage in battle, and tragic death fighting the Philistines.
-
E.
Zamani Saul
Zamani Saul is a South African politician who serves as the Premier of the Northern Cape province.
- 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_69ca843280488190bc65600e843ef9e6 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd525785d48190a76c9940712e093a |
completed | April 1, 2026, 5:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d11026b8688190b958ca65dae2d588 |
completed | April 4, 2026, 1:20 p.m. |
Created at: March 30, 2026, 7:47 p.m.