Triple
T2064491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Little France |
E45865
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Danderhall |
E182189
|
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: Danderhall | Statement: [Little France, near, Danderhall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Danderhall Context triple: [Little France, near, Danderhall]
-
A.
Heamoor
Heamoor is a village in Cornwall, England, situated just outside the town of Penzance.
-
B.
Ryhall
Ryhall is a village and civil parish in the South Kesteven district of Lincolnshire, England, known for its historic church and rural character.
-
C.
Lealholm
Lealholm is a small rural village in North Yorkshire, England, known for its picturesque setting in the Esk Valley within the North York Moors National Park.
-
D.
Torphichen
chosen
Torphichen is a historic village in central Scotland known for its medieval preceptory of the Knights Hospitaller and its picturesque rural setting.
-
E.
Ardlethan
Ardlethan is a small rural town in the Riverina region of New South Wales, Australia, known historically for tin mining and as a Merino sheep and grain farming community.
- 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_69a8891b38288190abd572ccad9b6928 |
completed | March 4, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69abb9d5147c8190a264fe42f0634cec |
completed | March 7, 2026, 5:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae271fa66081908be6c685b9bd8aa4 |
completed | March 9, 2026, 1:49 a.m. |
Created at: March 4, 2026, 7:40 p.m.