Triple
T38133829
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Metroland |
E952293
|
entity |
| Predicate | containsFlashbacksTo |
—
|
GENERATED |
| Object | 1960s Paris |
—
|
UNRECOGNIZED GENERATED |
How this triple was built (1 step)
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.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: containsFlashbacksTo Context triple: [Metroland, containsFlashbacksTo, 1960s Paris]
-
A.
portrayedInFlashbacks
Indicates that an entity appears or is depicted specifically within flashback scenes of a narrative work.
-
B.
hasFlashbackStorylines
Indicates that the narrative includes scenes or sequences set in earlier time periods that reveal past events related to the main storyline.
-
C.
featuresFlashback
chosen
Indicates that an event, scene, or narrative segment includes a flashback to an earlier time or prior events.
-
D.
retainsMemoriesOf
Indicates that one entity continues to hold or preserve memories about another entity or about events involving that entity.
-
E.
flashbackStructure
Indicates a narrative relationship where events are presented out of chronological order by returning to earlier moments in time (flashbacks) to inform or reframe the current storyline.
- F. None of above.
Provenance (1 batch)
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_69f76f083548819082bd2bbf53c79e8e |
completed | May 3, 2026, 3:51 p.m. |
Created at: May 3, 2026, 4:21 p.m.