Triple
T1433070
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tavistock, Devon, England |
E30492
|
entity |
| Predicate | distanceToPlymouth |
P28450
|
FINISHED |
| Object | about 15 miles north |
—
|
LITERAL 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: about 15 miles north | Statement: [Tavistock, Devon, England, distanceToPlymouth, about 15 miles north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPlymouth Context triple: [Tavistock, Devon, England, distanceToPlymouth, about 15 miles north]
-
A.
distanceToBrighton
Indicates the measured or specified distance between a given entity or location and Brighton.
-
B.
distanceFromBoston
Indicates the spatial distance between a given entity’s location and the city of Boston.
-
C.
distanceToLondon
Indicates the measured distance between a given entity’s location and the city of London.
-
D.
distanceFromKingsLynn
Indicates the measured distance between a given place or entity and the location of Kings Lynn.
-
E.
distanceToManchester
Indicates the measured or calculated distance between a given entity’s location and the city of Manchester.
- F. None of above. chosen
Provenance (4 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_69a498fc69ec8190b61722bd4b67c4d2 |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c500a9888190a16fbb1ec97a79c9 |
completed | March 1, 2026, 11 p.m. |
| PD | Predicate disambiguation | batch_69a4c4771c9481908ae47c959debbe77 |
completed | March 1, 2026, 10:57 p.m. |
| PDg | Predicate description generation | batch_69a4c4feea448190b2b5071b28a5b608 |
completed | March 1, 2026, 11 p.m. |
Created at: March 1, 2026, 8 p.m.