Triple
T37052347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austerfield |
E917080
|
entity |
| Predicate | distanceFromDoncaster |
P39954
|
FINISHED |
| Object | about 12 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: about 12 miles southeast | Statement: [Austerfield, distanceFromDoncaster, about 12 miles southeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromDoncaster Context triple: [Austerfield, distanceFromDoncaster, about 12 miles southeast]
-
A.
distanceToDoncaster
chosen
Indicates the spatial distance between a given entity or location and Doncaster.
-
B.
distanceFromLeeds
Indicates the spatial distance between a given entity and the location of Leeds.
-
C.
distanceFromMiddlesbrough
Indicates the spatial distance between an entity’s location and the town of Middlesbrough.
-
D.
distanceFromSunderland
Indicates the spatial distance between a given entity and the location of Sunderland.
-
E.
distanceToScunthorpe
Indicates the measured or calculated distance between a given entity’s location and the town of Scunthorpe.
- F. None of above.
Provenance (3 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_69f76e94d0308190a3f06890e133c88e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037c8e2c648190a65fc9c7872861af |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:14 p.m.