Triple
T4473716
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Church of St James |
E98555
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sarsden |
E98555
|
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: Sarsden | Statement: [Church of St James, locatedIn, Sarsden]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sarsden Context triple: [Church of St James, locatedIn, Sarsden]
-
A.
Sarsden
chosen
Sarsden is a small rural village in Oxfordshire, England, known for its historic manor house and picturesque countryside setting.
-
B.
Southdene
Southdene is a residential area and suburb located near the town of Kirkby in Merseyside, England.
-
C.
Tesseney
Tesseney is a town in western Eritrea near the Sudanese border, serving as a local commercial and agricultural center in the Gash-Barka region.
-
D.
Sandon
Sandon is a small rural village in the North Hertfordshire district of Hertfordshire, England, characterized by its agricultural surroundings and traditional English countryside setting.
-
E.
Kinsealy
Kinsealy is a suburban locality in north County Dublin, Ireland, known for its residential character and proximity to Swords and Dublin city.
- 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_69b3454b4ae481908967426dd37284d6 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356b95c888190a84bf4a9b2c60aa6 |
completed | March 13, 2026, 12:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b63776ae008190a7668cddf1a42df3 |
completed | March 15, 2026, 4:37 a.m. |
Created at: March 12, 2026, 11:35 p.m.