Triple
T20387680
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Romulan mining ship crew Narada |
E497999
|
entity |
| Predicate | timeDisplacedTo |
P139932
|
FINISHED |
| Object | 23rd century (Kelvin timeline) |
—
|
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: 23rd century (Kelvin timeline) | Statement: [Romulan mining ship crew Narada, timeDisplacedTo, 23rd century (Kelvin timeline)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeDisplacedTo Context triple: [Romulan mining ship crew Narada, timeDisplacedTo, 23rd century (Kelvin timeline)]
-
A.
displacementPeriod
Indicates the time interval over which an entity is moved or shifted from one position or state to another.
-
B.
timeBehind
Indicates that one entity occurs or is positioned later in time than another, lagging behind it on a temporal scale.
-
C.
timeOfDisappearance
Indicates the specific time at which an entity disappeared or was last observed to no longer be present.
-
D.
timeEquivalentOf
Indicates that two temporal entities represent the same point in time or duration, possibly expressed in different formats or units.
-
E.
timeScatteredAcross
Indicates that instances or occurrences of something are distributed over multiple, non-contiguous points in time rather than concentrated in a single continuous period.
- F. None of above. chosen
Provenance (4 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_69e0b4a71ebc8190b153a36c738730f4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6790c935881908f901d058e6a83a9 |
completed | April 20, 2026, 7:05 p.m. |
| PD | Predicate disambiguation | batch_69e57648be3c81908256838228cabf5c |
completed | April 20, 2026, 12:41 a.m. |
| PDg | Predicate description generation | batch_69e58d7481508190a87c8b88f9df9879 |
completed | April 20, 2026, 2:20 a.m. |
Created at: April 16, 2026, 11:28 a.m.