Triple
T12536740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoxford |
E299709
|
entity |
| Predicate | distanceToDarshamStation |
P69004
|
FINISHED |
| Object | about 2 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 2 miles | Statement: [Yoxford, distanceToDarshamStation, about 2 miles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceToDarshamStation Context triple: [Yoxford, distanceToDarshamStation, about 2 miles]
-
A.
distanceFromStation
chosen
Indicates the measured spatial separation between an entity and a specified station.
-
B.
distanceToRailhead
Indicates the measured distance between a location or object and the nearest railhead (rail transport access point).
-
C.
distanceFromPennStation
Indicates the physical distance between a given location and Penn Station.
-
D.
distanceFromTerminus
Indicates the measured distance of an entity from a defined endpoint or terminus along a route, path, or sequence.
-
E.
distanceToMoshi
Indicates the spatial distance between a given entity and the location Moshi.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95f5507b481908d13cc317b7402f6 |
completed | April 10, 2026, 8:36 p.m. |
| PD | Predicate disambiguation | batch_69d9540d7b788190a0d57b098e90e491 |
completed | April 10, 2026, 7:48 p.m. |
Created at: April 8, 2026, 9:57 p.m.