Triple
T5579039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Astraeus |
E146593
|
entity |
| Predicate | timeOfDayAssociation |
P11533
|
FINISHED |
| Object | twilight |
—
|
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: twilight | Statement: [Astraeus, timeOfDayAssociation, twilight]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfDayAssociation Context triple: [Astraeus, timeOfDayAssociation, twilight]
-
A.
associatedNightTiming
Indicates a relationship where an event, action, or condition is linked specifically to a time period occurring during the night.
-
B.
associatedWithTime
chosen
Indicates a relationship where something is linked or connected to a specific point or period in time.
-
C.
timeDescribedAs
Indicates that a specific time or temporal interval is characterized, labeled, or expressed using a particular description or representation.
-
D.
timeType
Indicates the specific temporal category or classification associated with a time-related entity or value (e.g., duration, point in time, interval, or recurrence type).
-
E.
timeCharacteristic
Indicates a relationship where one entity specifies a temporal property, feature, or constraint that characterizes another entity or event.
- 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_69c0090287a08190b4098411effe970c |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c0206bfea08190aa2c8df9f88013ac |
completed | March 22, 2026, 5:01 p.m. |
| PD | Predicate disambiguation | batch_69c01b147cc081909237f3f2967d4cb8 |
completed | March 22, 2026, 4:38 p.m. |
Created at: March 22, 2026, 3:37 p.m.