Triple
T24311707
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | West Kennet Long Barrow |
E612689
|
entity |
| Predicate | distanceFromAvebury |
P155520
|
FINISHED |
| Object | about 2.4 kilometres south |
—
|
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 2.4 kilometres south | Statement: [West Kennet Long Barrow, distanceFromAvebury, about 2.4 kilometres south]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromAvebury Context triple: [West Kennet Long Barrow, distanceFromAvebury, about 2.4 kilometres south]
-
A.
distanceToStonehenge
Indicates the measured or calculated spatial distance between a given entity and the location of Stonehenge.
-
B.
distanceToAmesbury
Indicates the spatial distance between a given entity and the location of Amesbury.
-
C.
distanceToWymondham
Indicates the spatial distance between a given entity or location and Wymondham.
-
D.
distanceToAylesbury
Indicates the spatial distance between a given entity and the location of Aylesbury.
-
E.
distanceFromChippenham
Indicates the spatial distance between a given entity or location and Chippenham.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2922b867c8190a6bf2adbfb68a584 |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45f45888190a9ccc225906c34bd |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 1:42 a.m.