Triple
T16935087
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baschurch |
E410806
|
entity |
| Predicate | distanceToEllesmere |
P124808
|
FINISHED |
| Object | approximately 11 miles southeast |
—
|
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 11 miles southeast | Statement: [Baschurch, distanceToEllesmere, approximately 11 miles southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToEllesmere Context triple: [Baschurch, distanceToEllesmere, approximately 11 miles southeast]
-
A.
distanceToLerwickKilometers
Indicates the physical distance, measured in kilometers, between a given entity’s location and the town of Lerwick.
-
B.
distanceToOuterHebrides
Indicates the measured distance between a given entity’s location and the Outer Hebrides.
-
C.
distanceFromFalklands
Indicates the measured spatial distance between a given entity or location and the Falkland Islands.
-
D.
distanceToTristanDaCunha
Indicates the spatial distance between a given entity and Tristan da Cunha.
-
E.
distanceFromMcMurdoStation
Indicates the measured spatial distance between a given location or object and McMurdo Station.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf2899608190a6bacdce9d4ceb84 |
completed | April 18, 2026, 6:36 p.m. |
| PD | Predicate disambiguation | batch_69e32b982f548190b08414d55810de19 |
completed | April 18, 2026, 6:58 a.m. |
| PDg | Predicate description generation | batch_69e32d7aae948190bc238d765795688c |
completed | April 18, 2026, 7:06 a.m. |
Created at: April 10, 2026, 5:30 a.m.