Triple
T16841548
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Felpersham |
E409423
|
entity |
| Predicate | hasRelativeLocationInFiction |
P98030
|
FINISHED |
| Object | within driving distance of Ambridge |
—
|
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: within driving distance of Ambridge | Statement: [Felpersham, hasRelativeLocationInFiction, within driving distance of Ambridge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasRelativeLocationInFiction Context triple: [Felpersham, hasRelativeLocationInFiction, within driving distance of Ambridge]
-
A.
hasRelativeInFiction
Indicates that one entity has a relative or family member who appears as a character within a fictional work associated with the other entity.
-
B.
locationWithinFiction
chosen
Indicates that one fictional location is situated inside or contained within another fictional location.
-
C.
hasBranchInFictionalLocation
Indicates that an organization maintains a branch, office, or presence within a fictional or imaginary location.
-
D.
positionInFiction
Indicates that one entity holds a specific role, status, or placement within a fictional work or narrative.
-
E.
hasPlaceInFiction
Indicates that a fictional work or element is associated with, set in, or takes place within a particular fictional location or setting.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b35167a48190b45a459023e3ab1b |
completed | April 18, 2026, 4:37 p.m. |
| PD | Predicate disambiguation | batch_69e32b87b4248190aaddb05e88452356 |
completed | April 18, 2026, 6:58 a.m. |
Created at: April 10, 2026, 5:24 a.m.