Triple
T24359151
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maiden Newton railway station |
E614007
|
entity |
| Predicate | distanceFromWeymouth |
P117358
|
FINISHED |
| Object | approximately 20 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: approximately 20 miles | Statement: [Maiden Newton railway station, distanceFromWeymouth, approximately 20 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromWeymouth Context triple: [Maiden Newton railway station, distanceFromWeymouth, approximately 20 miles]
-
A.
distanceToWeymouth
chosen
Indicates the spatial distance between a given entity and the location Weymouth.
-
B.
distanceToWymondham
Indicates the spatial distance between a given entity or location and Wymondham.
-
C.
distanceToGreatYarmouth_miles
Indicates the physical distance, measured in miles, between a given location and Great Yarmouth.
-
D.
distanceToFalmouth
Indicates the physical distance between a given location or entity and the place named Falmouth.
-
E.
distanceToPenzance
Indicates the spatial distance between a given entity’s location and the town of Penzance.
- 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_69e2d7dfe7f08190b7a1f3a36483ab05 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f2934bcc608190b86bc091474bb259 |
completed | April 29, 2026, 11:24 p.m. |
| PD | Predicate disambiguation | batch_69f287bb1b2c81909c2e7fcc392ad143 |
completed | April 29, 2026, 10:35 p.m. |
Created at: April 18, 2026, 2 a.m.