Triple
T18580602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bush Hill Park railway station |
E454101
|
entity |
| Predicate | distanceFromLiverpoolStreet |
P132658
|
FINISHED |
| Object | about 9 miles |
—
|
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 9 miles | Statement: [Bush Hill Park railway station, distanceFromLiverpoolStreet, about 9 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromLiverpoolStreet Context triple: [Bush Hill Park railway station, distanceFromLiverpoolStreet, about 9 miles]
-
A.
distanceFromLiverpoolLimeStreet
Indicates the spatial distance between a given location and Liverpool Lime Street station.
-
B.
distanceFromBakerStreet
Indicates the measured spatial distance between a given entity and Baker Street.
-
C.
distanceFromLiverpoolCityCentre
Indicates the spatial distance between a given location and the center of Liverpool city.
-
D.
distanceToLiverpoolCentral
Indicates the spatial distance between a given location and Liverpool Central.
-
E.
distanceFromCentralLondon
Indicates the spatial separation or length of travel between a given location and central London.
- 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_69d8d38974308190a9174430ef256b73 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e543cf33288190bc2cd6b7befde944 |
completed | April 19, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69e478c98d4c81909d37a0e72c6e7bd0 |
completed | April 19, 2026, 6:40 a.m. |
| PDg | Predicate description generation | batch_69e484121cd48190bf583b4c94636a30 |
completed | April 19, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:43 a.m.