Triple
T17343762
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Old Republic era |
E421129
|
entity |
| Predicate | timeSettingRelativeToFilms |
P69693
|
FINISHED |
| Object | thousands of years before the Skywalker saga |
—
|
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: thousands of years before the Skywalker saga | Statement: [Old Republic era, timeSettingRelativeToFilms, thousands of years before the Skywalker saga]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSettingRelativeToFilms Context triple: [Old Republic era, timeSettingRelativeToFilms, thousands of years before the Skywalker saga]
-
A.
storyTimeSpanInFilm
Indicates the duration of time that the story or narrative covers within the film.
-
B.
timeShiftProperty
chosen
Indicates a relationship where one property value is derived from another by applying a temporal shift (e.g., offsetting it to an earlier or later point in time).
-
C.
filmLength
Indicates the duration or running time of a film, typically measured in units such as minutes.
-
D.
startTimeDepicted
Indicates that the subject visually represents the starting time of an event, process, or state.
-
E.
timeProperty
Indicates that one entity specifies, constrains, or characterizes a temporal aspect or timing-related attribute of another entity.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a18aca88190a816da85dd5fe371 |
completed | April 19, 2026, 2:12 a.m. |
| PD | Predicate disambiguation | batch_69e3b02662d08190a07d0fb5c04b6f33 |
completed | April 18, 2026, 4:24 p.m. |
Created at: April 10, 2026, 5:44 a.m.