Triple
T9966500
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Colwood |
E195695
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Langford |
E198035
|
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: Langford | Statement: [Colwood, adjacentTo, Langford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Langford Context triple: [Colwood, adjacentTo, Langford]
-
A.
Langford
Langford is a small rural village in North Somerset, England, known for its countryside setting and proximity to Wrington.
-
B.
Langford
chosen
Langford is a rapidly growing suburban city on southern Vancouver Island in British Columbia, Canada, located just west of Victoria.
-
C.
Langford
Langford is a village in Bedfordshire, England, known for its rural character and location along the River Ivel.
-
D.
Langford
Langford is a small rural village in the Cotswolds area of Oxfordshire, England, known for its historic stone buildings and traditional English countryside setting.
-
E.
Langford Village
Langford Village is a modern residential suburb of the town of Bicester in Oxfordshire, England.
- 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_69ca82ebd1288190912f9e4482d1fa35 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cdb71dc50081909329722dc087c9f6 |
completed | April 2, 2026, 12:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d23dad53ac819097c4b687d49bd790 |
completed | April 5, 2026, 10:47 a.m. |
Created at: March 30, 2026, 8:47 p.m.