Triple
T25075387
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Nagasaki Vector |
E628031
|
entity |
| Predicate | hasAlternateHistory |
P149009
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [The Nagasaki Vector, hasAlternateHistory, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasAlternateHistory Context triple: [The Nagasaki Vector, hasAlternateHistory, yes]
-
A.
hasAlternativeHistoryElements
chosen
Indicates that something incorporates elements of alternative or counterfactual historical scenarios into its content or structure.
-
B.
hasAlternateTimeline
Indicates that an entity exists or occurs in a different possible or parallel timeline relative to another reference timeline.
-
C.
alternateTimelineEvent
Indicates that an event occurs in, or is associated with, a timeline that diverges from the primary or original sequence of events.
-
D.
alternateTimelineName
Indicates that one entity is the name or designation used for another entity in an alternate or parallel timeline.
-
E.
hasAlternateTimelineConnectionWith
Indicates a relationship where two entities are linked through an alternate or parallel timeline, allowing events or states in one timeline to correspond to or influence those in the other.
- 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_69e2ff2e73f881909992bf3eda5c25cb |
completed | April 18, 2026, 3:49 a.m. |
| NER | Named-entity recognition | batch_69f55e519978819087a1676564a74630 |
completed | May 2, 2026, 2:15 a.m. |
| PD | Predicate disambiguation | batch_69f4a0edd10c81908a052ab864d57c54 |
completed | May 1, 2026, 12:47 p.m. |
Created at: April 18, 2026, 6:21 a.m.