Triple
T2178992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashley Wilkes |
E48996
|
entity |
| Predicate | basedInTimePeriod |
P4343
|
FINISHED |
| Object | 19th century |
—
|
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: 19th century | Statement: [Ashley Wilkes, basedInTimePeriod, 19th century]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: basedInTimePeriod Context triple: [Ashley Wilkes, basedInTimePeriod, 19th century]
-
A.
commonInPeriod
Indicates that something frequently occurs, appears, or is prevalent during a specified time period.
-
B.
concludedBetween
Indicates that an agreement, arrangement, or formal relationship has been finalized between two or more parties.
-
C.
timePeriodWithin
Indicates that one time period is entirely contained within the bounds of another time period.
-
D.
refersToPeriod
chosen
Indicates that one entity designates, references, or is associated with a specific time period or interval.
-
E.
usedBetween
Indicates that something serves as a means, medium, or shared resource connecting or operating jointly between two entities.
- 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_69a88aa72d348190a9544bb5b8a4e71d |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc4358fc88190a6f556c2de9fef8c |
completed | March 7, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_69abbda0ec948190be88c1243d81a423 |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:45 p.m.