Triple
T28838446
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Tenseless Theory of Time |
E728248
|
entity |
| Predicate | usesTemporalRelations |
P4137
|
FINISHED |
| Object | earlier than |
—
|
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: earlier than | Statement: [The Tenseless Theory of Time, usesTemporalRelations, earlier than]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesTemporalRelations Context triple: [The Tenseless Theory of Time, usesTemporalRelations, earlier than]
-
A.
temporalRelation
chosen
Indicates a relationship that specifies how two events or states are positioned relative to each other in time (e.g., before, after, or overlapping).
-
B.
hasTemporalRole
Indicates that an entity participates in a role or function that is defined, constrained, or characterized by a specific time or temporal context.
-
C.
hasTemporalUse
Indicates that something is used, applicable, or valid only during a specific time or temporal interval.
-
D.
temporalRelationToRealWorld
Indicates a temporal relationship between an event or state and real-world time, such as when it occurs, starts, ends, or overlaps with actual calendar or clock time.
-
E.
temporalAspect
Indicates the time-related characteristics or phase (such as duration, frequency, or temporal status) associated with an event or relationship.
- 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_69f0319e8e7c8190b37288c8845b9dbc |
completed | April 28, 2026, 4:03 a.m. |
| NER | Named-entity recognition | batch_69f6d0d46aec819091edf97324d793ac |
completed | May 3, 2026, 4:36 a.m. |
| PD | Predicate disambiguation | batch_69f6cfe2183481908ae4e85a59c66f69 |
completed | May 3, 2026, 4:32 a.m. |
Created at: April 28, 2026, 6:40 a.m.