Triple
T5391265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Markfield |
E120333
|
entity |
| Predicate | distanceToLeicester |
P62970
|
FINISHED |
| Object | approximately 9 miles northwest |
—
|
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 9 miles northwest | Statement: [Markfield, distanceToLeicester, approximately 9 miles northwest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToLeicester Context triple: [Markfield, distanceToLeicester, approximately 9 miles northwest]
-
A.
distanceFromLeeds
Indicates the spatial distance between a given entity and the location of Leeds.
-
B.
distanceToBicester
Indicates the spatial distance between a given entity and the location of Bicester.
-
C.
distanceToLancaster
Indicates the measured distance between a given entity’s location and the location of Lancaster.
-
D.
distanceToNottingham
Indicates the measured or estimated distance between a given location or entity and the city of Nottingham.
-
E.
distanceToTelford
Indicates the spatial distance between a given entity and the location of Telford.
- 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_69bd46354c648190a38b26f107010a96 |
completed | March 20, 2026, 1:05 p.m. |
| NER | Named-entity recognition | batch_69bd87185f788190bd5244a1f7dbb5c8 |
completed | March 20, 2026, 5:42 p.m. |
| PD | Predicate disambiguation | batch_69bd8463a9c88190bd760378f3026180 |
completed | March 20, 2026, 5:31 p.m. |
| PDg | Predicate description generation | batch_69bd853005088190b1b092a9beb090b2 |
completed | March 20, 2026, 5:34 p.m. |
Created at: March 20, 2026, 2:04 p.m.