Triple
T22238655
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thornfield Hall |
E549657
|
entity |
| Predicate | distanceFromLowoodInFiction |
P146863
|
FINISHED |
| Object | a long coach journey |
—
|
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: a long coach journey | Statement: [Thornfield Hall, distanceFromLowoodInFiction, a long coach journey]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: distanceFromLowoodInFiction Context triple: [Thornfield Hall, distanceFromLowoodInFiction, a long coach journey]
-
A.
distanceToLudlow
Indicates the spatial distance between a given entity and the reference location Ludlow.
-
B.
distanceFromLeeds
Indicates the spatial distance between a given entity and the location of Leeds.
-
C.
distanceToLancaster
Indicates the measured distance between a given entity’s location and the location of Lancaster.
-
D.
distanceToStowOnTheWold
Indicates the measured distance between a given location and the place named Stow-on-the-Wold.
-
E.
distanceFromReading
Indicates the measured spatial distance between a specified entity and the location of Reading.
- 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_69e11e4102b881909cf47d3768e25c19 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f132123a048190ba5a90d7acb9aeb2 |
completed | April 28, 2026, 10:17 p.m. |
| PD | Predicate disambiguation | batch_69e71b5177d881908f90abde14ada7dc |
completed | April 21, 2026, 6:38 a.m. |
| PDg | Predicate description generation | batch_69e7222e74248190a2d3671049f117f2 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:38 p.m.