Triple
T19124579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Watling Street |
E468142
|
entity |
| Predicate | connects |
P390
|
FINISHED |
| Object | Roxeter |
—
|
NE NERFINISHED |
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: Roxeter | Statement: [Watling Street, connects, Roxeter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Roxeter Context triple: [Watling Street, connects, Roxeter]
-
A.
Roxeter
chosen
Roxeter is a historic settlement in Shropshire, England, known for its Roman origins and archaeological significance.
-
B.
Essendine
Essendine is a small village and civil parish in Rutland, England, known for its rural character and historic church.
-
C.
Auriol
Auriol is a French surname most notably borne by Vincent Auriol, the first president of the Fourth French Republic.
-
D.
Umberleigh
Umberleigh is a small rural village in North Devon, England, situated on the River Taw and served by a local railway station.
-
E.
Ambrosden
Ambrosden is a village and civil parish in Oxfordshire, England, located near the town of Bicester and known historically for its military connections.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd0796a48190b34ce4cd9d3f3be5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3cb9d6c81908a8706c1f33a6378 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.