Triple
T38059329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Newcastle Airport Metro station |
E950296
|
entity |
| Predicate | distanceToNewcastleCentralByMetro |
P207577
|
FINISHED |
| Object | approximately 25 minutes |
—
|
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 25 minutes | Statement: [Newcastle Airport Metro station, distanceToNewcastleCentralByMetro, approximately 25 minutes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToNewcastleCentralByMetro Context triple: [Newcastle Airport Metro station, distanceToNewcastleCentralByMetro, approximately 25 minutes]
-
A.
distanceFromNewcastleCBD_km
Indicates the physical distance, measured in kilometers, between an entity and the central business district (CBD) of Newcastle.
-
B.
distanceFromNewcastle
Indicates the spatial distance between a given entity or location and the city of Newcastle.
-
C.
distanceToNewcastle_km
Indicates the physical distance, measured in kilometers, between a given location and Newcastle.
-
D.
distanceToNewarkCastleStation
Indicates the spatial distance between a given entity and Newark Castle Station.
-
E.
directionToNewcastleCBD
Indicates the direction or orientation of something relative to the Newcastle central business district (CBD).
- 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_69f76f01e63c819093b6012fc974f35a |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a037df1223c8190a5d61e4f8e6fd613 |
completed | May 12, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_6a037a1ad6c48190bfe35d350c1b4751 |
completed | May 12, 2026, 7:06 p.m. |
| PDg | Predicate description generation | batch_6a037df009f4819082e04683e6e8a106 |
completed | May 12, 2026, 7:22 p.m. |
Created at: May 3, 2026, 4:21 p.m.