Triple
T932480
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tidworth |
E20122
|
entity |
| Predicate | hasNeighbouringParish |
P22613
|
FINISHED |
| Object | Shipton Bellinger |
E149260
|
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: Shipton Bellinger | Statement: [Tidworth, hasNeighbouringParish, Shipton Bellinger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shipton Bellinger Context triple: [Tidworth, hasNeighbouringParish, Shipton Bellinger]
-
A.
Shipton Bellinger
chosen
Shipton Bellinger is a small rural village in Hampshire, England, situated near the garrison town of Tidworth on the edge of Salisbury Plain.
-
B.
Rushworth
Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
-
C.
Buckland
Buckland is a small Inupiat community and city in northwestern Alaska situated along the Buckland River.
-
D.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
-
E.
Grosmont
Grosmont is a small village in North Yorkshire, England, known for its heritage railway station on the North Yorkshire Moors Railway and its scenic moorland surroundings.
- 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_69a493af3dc48190adb7263e6e445ea1 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b74b789c8190b174f9b17dc46f9e |
completed | March 1, 2026, 10:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf0949c481908868bd27eeb964b4 |
completed | March 8, 2026, 12:12 a.m. |
Created at: March 1, 2026, 7:40 p.m.