Triple
T25076051
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A Civil Campaign |
E628049
|
entity |
| Predicate | chronologicalPlacementInUniverse |
P10630
|
FINISHED |
| Object | after events of Komarr |
—
|
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: after events of Komarr | Statement: [A Civil Campaign, chronologicalPlacementInUniverse, after events of Komarr]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalPlacementInUniverse Context triple: [A Civil Campaign, chronologicalPlacementInUniverse, after events of Komarr]
-
A.
chronologicalPosition
chosen
Indicates the relative ordering of one event or entity in time with respect to another.
-
B.
chronologicallyAmong
Indicates that one event or time point occurs within the temporal range defined by two other events or time points, preserving their chronological order.
-
C.
chronologyOf
Indicates that one entity represents the temporal ordering, sequence, or historical timeline of events or states associated with another entity.
-
D.
chronologicallySetIn
Indicates that one event, scene, or narrative is situated at a specific point or period in time relative to a broader temporal context.
-
E.
chronologicalPoint
Indicates that something is associated with, occurs at, or is anchored to a specific point in time within a chronological sequence.
- 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_69f45d1966c08190997f5ff8880a3314 |
completed | May 1, 2026, 7:58 a.m. |
| PD | Predicate disambiguation | batch_69f44d8043b081908bbffd7f044b4f26 |
completed | May 1, 2026, 6:51 a.m. |
Created at: April 18, 2026, 6:21 a.m.