Triple
T21088383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sennen |
E519564
|
entity |
| Predicate | distanceToLand’sEnd |
P142793
|
FINISHED |
| Object | approximately 1 mile |
—
|
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: approximately 1 mile | Statement: [Sennen, distanceToLand’sEnd, approximately 1 mile]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLand’sEnd Context triple: [Sennen, distanceToLand’sEnd, approximately 1 mile]
-
A.
distanceFromCoast
Indicates the measured spatial separation between a location and the nearest point on a coastline.
-
B.
distanceFromMainland
Indicates the measured spatial separation between a location and the nearest point on the mainland.
-
C.
stateOnNearestShore
Indicates that an entity is located on the shore that is geographically closest to another specified reference point or entity.
-
D.
distanceToLowestoft
Indicates the spatial distance between a given entity and the location of Lowestoft.
-
E.
distanceToPraia
Indicates the measured distance between an entity and the location Praia.
- 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_69e0b507dd9081908fb8bfcbef4c8b46 |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7094cebe08190bb10f51a45c244ec |
completed | April 21, 2026, 5:21 a.m. |
| PD | Predicate disambiguation | batch_69e5dbfcd5e881908f1e4e0d2d237856 |
completed | April 20, 2026, 7:55 a.m. |
| PDg | Predicate description generation | batch_69e5e2e03d88819086f8b641656ad8b0 |
completed | April 20, 2026, 8:25 a.m. |
Created at: April 16, 2026, 2:50 p.m.