Triple
T29211751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Margazhi |
E740562
|
entity |
| Predicate | timeOfDayEmphasis |
P103314
|
FINISHED |
| Object | early morning |
—
|
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: early morning | Statement: [Margazhi, timeOfDayEmphasis, early morning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfDayEmphasis Context triple: [Margazhi, timeOfDayEmphasis, early morning]
-
A.
timeOfDayEmphasized
chosen
Indicates that a particular time of day is highlighted or given special prominence in relation to an event or situation.
-
B.
associatedTimeOfDay
Indicates the specific time of day during which an event, state, or relationship occurs or is most relevant.
-
C.
timeOfDayCoverage
Indicates the specific portion or range of the day during which an activity, service, or condition is in effect or applicable.
-
D.
dayPattern
Indicates the recurring schedule or configuration of days on which an event, action, or condition occurs.
-
E.
hasTimeOfDay
Indicates that a situation, event, or state occurs during, or is associated with, a specific part of the day (e.g., morning, afternoon, evening, night).
- 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_69f07cba2f808190a2746477d4e8345b |
completed | April 28, 2026, 9:24 a.m. |
| NER | Named-entity recognition | batch_69f71f8ee0688190bd025f27993452d3 |
completed | May 3, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69f71cc405c08190863565609a4c8499 |
completed | May 3, 2026, 10 a.m. |
Created at: April 28, 2026, 12:11 p.m.