Triple
T7810541
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lostock Hall |
E180668
|
entity |
| Predicate | distanceToLeyland |
P79142
|
FINISHED |
| Object | approximately 3 miles north |
—
|
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 3 miles north | Statement: [Lostock Hall, distanceToLeyland, approximately 3 miles north]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLeyland Context triple: [Lostock Hall, distanceToLeyland, approximately 3 miles north]
-
A.
distanceToCrewe
Indicates the spatial distance between an entity and the location Crewe.
-
B.
distanceFromLeeds
Indicates the spatial distance between a given entity and the location of Leeds.
-
C.
distanceToLondon
Indicates the measured distance between a given entity’s location and the city of London.
-
D.
distanceToManchester
Indicates the measured or calculated distance between a given entity’s location and the city of Manchester.
-
E.
distanceToSalford
Indicates the spatial distance between a given entity and the location of Salford.
- 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_69ca827f6f148190beca4e245b993506 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69caf78cd1cc8190b4cdd9850e1e2bb7 |
completed | March 30, 2026, 10:22 p.m. |
| PD | Predicate disambiguation | batch_69cae91687788190af9cb7aaa996d291 |
completed | March 30, 2026, 9:20 p.m. |
| PDg | Predicate description generation | batch_69caf7855a3c81908b9318f7186fc0c0 |
completed | March 30, 2026, 10:21 p.m. |
Created at: March 30, 2026, 4:37 p.m.