Triple
T3101001
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Army Legal Services Branch |
E64717
|
entity |
| Predicate | garrison |
P75
|
FINISHED |
| Object | Upavon |
E66889
|
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: Upavon | Statement: [Army Legal Services Branch, garrison, Upavon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Upavon Context triple: [Army Legal Services Branch, garrison, Upavon]
-
A.
Upavon
chosen
Upavon is a village on Salisbury Plain in Wiltshire, England, notable for its long military association and nearby army and air force facilities.
-
B.
Wicken
Wicken is a small rural village in East Cambridgeshire, England, best known for its proximity to the National Trust’s Wicken Fen nature reserve, one of the country’s oldest wetlands.
-
C.
Yattendon
Yattendon is a small village and civil parish in Berkshire, England, known for its rural character and historic buildings.
-
D.
Blyford
Blyford is a small rural village located in the English county of Suffolk.
-
E.
Swinbrook
Swinbrook is a small, picturesque village in rural Oxfordshire, England, known for its traditional stone cottages and historic church.
- 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_69ad857dc98481909e585dc3372e3ed5 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada26c76ec81908d11f82be573c518 |
completed | March 8, 2026, 4:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235a3ebac8190af9a25eeee778675 |
completed | March 12, 2026, 3:40 a.m. |
Created at: March 8, 2026, 3:03 p.m.