Triple
T23580107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tolworth |
E582175
|
entity |
| Predicate | roadDistanceToCharingCross |
P35331
|
FINISHED |
| Object | approximately 11 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 11 miles | Statement: [Tolworth, roadDistanceToCharingCross, approximately 11 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roadDistanceToCharingCross Context triple: [Tolworth, roadDistanceToCharingCross, approximately 11 miles]
-
A.
distanceToCharingCross
chosen
Indicates the spatial distance between a given location and Charing Cross.
-
B.
directionFromCharingCross
Indicates the compass direction of one place or object as measured from Charing Cross.
-
C.
adjacentStationTowardsCharingCross
Indicates that one station is directly next to another along a route in the direction of Charing Cross.
-
D.
distanceFromFitzroyCrossing
Indicates the spatial distance between a given entity and Fitzroy Crossing.
-
E.
distanceFromStPancras
Indicates the spatial distance between an entity and St Pancras.
- 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_69e248f8d8248190acd5aee77f0d1709 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1afd8e5ec81909fbdcf68bc14078e |
completed | April 29, 2026, 7:14 a.m. |
| PD | Predicate disambiguation | batch_69f118bcc0b08190b25a8dddfd461a0e |
completed | April 28, 2026, 8:29 p.m. |
Created at: April 17, 2026, 6:39 p.m.