Triple
T23740771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gargantua |
E586664
|
entity |
| Predicate | timeDilation |
P127740
|
FINISHED |
| Object | extreme time dilation near horizon |
—
|
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: extreme time dilation near horizon | Statement: [Gargantua, timeDilation, extreme time dilation near horizon]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeDilation Context triple: [Gargantua, timeDilation, extreme time dilation near horizon]
-
A.
timeDilationLevel
chosen
Indicates the degree to which time is experienced as slowed down or sped up for an entity relative to a reference frame.
-
B.
timePerception
Indicates how an entity subjectively experiences, interprets, or estimates the passage and duration of time.
-
C.
timeScaleOfChange
Indicates the characteristic rate or temporal scale over which a change, process, or transition occurs.
-
D.
timeScaleType
Indicates the type or category of temporal scaling applied to an event, process, or measurement (e.g., real-time, accelerated, aggregated).
-
E.
dimensionOfTime
Indicates a temporal measurement or extent that specifies how long something lasts or when it occurs.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bad61d908190a0a8493bbba95d49 |
completed | April 29, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:11 p.m.