Triple
T5429956
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Land's End |
E121460
|
entity |
| Predicate | distanceToPenzance |
P63708
|
FINISHED |
| Object | about 9 miles west-southwest |
—
|
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 9 miles west-southwest | Statement: [Land's End, distanceToPenzance, about 9 miles west-southwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToPenzance Context triple: [Land's End, distanceToPenzance, about 9 miles west-southwest]
-
A.
distanceToFolkestone
Indicates the spatial distance between a given location or entity and the town of Folkestone.
-
B.
distanceToPlymouth
Indicates the measured distance between a given location or object and the place named Plymouth.
-
C.
distanceToCanterbury
Indicates the spatial distance between a given entity’s location and the location of Canterbury.
-
D.
distanceToSouthampton
Indicates the measured distance between a given entity’s location and the location of Southampton.
-
E.
distanceToBristol
Indicates the measured or calculated spatial distance between a given entity and the location of Bristol.
- 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_69bd463c65f0819082ee6483ab4b466a |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8911a7348190ad9378a248190f07 |
completed | March 20, 2026, 5:51 p.m. |
| PD | Predicate disambiguation | batch_69bd846b8bdc81909dcdc2a3084226f2 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd8910de688190aa0cd80627849a60 |
completed | March 20, 2026, 5:51 p.m. |
Created at: March 20, 2026, 2:06 p.m.