Triple
T7326046
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Braintree |
E168877
|
entity |
| Predicate | distanceTo_London |
P8256
|
FINISHED |
| Object | about 45 miles northeast |
—
|
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 45 miles northeast | Statement: [Braintree, distanceTo_London, about 45 miles northeast]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceTo_London Context triple: [Braintree, distanceTo_London, about 45 miles northeast]
-
A.
distanceToLondon
chosen
Indicates the measured distance between a given entity’s location and the city of London.
-
B.
distanceFromCentralLondon
Indicates the spatial separation or length of travel between a given location and central London.
-
C.
distanceToGatwickAirport
Indicates the measured distance between a given entity’s location and Gatwick Airport.
-
D.
distanceToManchester
Indicates the measured or calculated distance between a given entity’s location and the city of Manchester.
-
E.
distanceToFolkestone
Indicates the spatial distance between a given location or entity and the town of Folkestone.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0a612c08190b7a3fefa811bbcec |
completed | March 27, 2026, 9:03 p.m. |
| PD | Predicate disambiguation | batch_69c6e77230048190b2c29ca6b3a65b8e |
completed | March 27, 2026, 8:24 p.m. |
Created at: March 27, 2026, 3:03 p.m.