Triple
T30570427
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Delta Quadrant |
E778107
|
entity |
| Predicate | travelTimeToFederation |
P103916
|
FINISHED |
| Object | approximately 75-year journey at maximum warp (without shortcuts) |
—
|
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: approximately 75-year journey at maximum warp (without shortcuts) | Statement: [Delta Quadrant, travelTimeToFederation, approximately 75-year journey at maximum warp (without shortcuts)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: travelTimeToFederation Context triple: [Delta Quadrant, travelTimeToFederation, approximately 75-year journey at maximum warp (without shortcuts)]
-
A.
timeToTravelEndToEnd
chosen
Indicates the duration required to traverse from the starting point to the ending point of something (e.g., a route, path, or system) without interruption.
-
B.
travelTimeThroughWormholeTo
Indicates the duration required for an entity to traverse a wormhole and reach a specified destination.
-
C.
approximateTravelTimeCoastToCoast
Indicates the estimated duration required to travel from one coast to the opposite coast.
-
D.
travelTimeByFerry
Indicates the duration required to travel between two locations specifically using a ferry as the mode of transportation.
-
E.
travelTimeCategory
Indicates the qualitative classification of how long a given travel or trip duration is (e.g., short, medium, long).
- 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_69f2249f8c148190ae7eb3912cde112a |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f6a916d2e08190bafc01cba73b6469 |
completed | May 3, 2026, 1:47 a.m. |
| PD | Predicate disambiguation | batch_69f6a7548eb48190a69b60a3c6ad53b9 |
completed | May 3, 2026, 1:39 a.m. |
Created at: April 29, 2026, 8:22 p.m.