Triple
T5142066
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelvin Timeline |
E115974
|
entity |
| Predicate | divergencePoint |
P41494
|
FINISHED |
| Object | attack on USS Kelvin by Narada in 2233 |
—
|
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: attack on USS Kelvin by Narada in 2233 | Statement: [Kelvin Timeline, divergencePoint, attack on USS Kelvin by Narada in 2233]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divergencePoint Context triple: [Kelvin Timeline, divergencePoint, attack on USS Kelvin by Narada in 2233]
-
A.
hasDivergence
Indicates that there is a difference, deviation, or separation between two otherwise related entities, states, or paths.
-
B.
divergesAt
Indicates that a process, function, or behavior fails to converge or terminate at a specific point or under specific conditions.
-
C.
hasCurvatureDivergence
Indicates that one entity exhibits a difference or variation in curvature relative to another entity or reference.
-
D.
isStartingPointOf
chosen
Indicates that something serves as the initial point or origin from which another thing, process, or path begins.
-
E.
divertedBy
Indicates that the normal course, flow, or direction of something is changed or rerouted due to the influence or action 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_69bd44459a988190a772a5c2ec6a1965 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd78d7f4d081908d59adcd86f52f1d |
completed | March 20, 2026, 4:42 p.m. |
| PD | Predicate disambiguation | batch_69bd77ae2f10819098bb8939106e1281 |
completed | March 20, 2026, 4:37 p.m. |
Created at: March 20, 2026, 1:43 p.m.