Triple
T22361972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ahavat Olam |
E552798
|
entity |
| Predicate | associatedTimeOfDay |
P147906
|
FINISHED |
| Object | evening |
—
|
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: evening | Statement: [Ahavat Olam, associatedTimeOfDay, evening]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedTimeOfDay Context triple: [Ahavat Olam, associatedTimeOfDay, evening]
-
A.
bestTimeOfDayToVisit
Indicates the time of day during which visiting something is considered most optimal or desirable.
-
B.
timeOfDayCoverage
Indicates the specific portion or range of the day during which an activity, service, or condition is in effect or applicable.
-
C.
associatedNightTiming
Indicates a relationship where an event, action, or condition is linked specifically to a time period occurring during the night.
-
D.
landingTimeOfDay
Indicates the time of day at which a landing event occurs.
-
E.
timeOfDayEmphasized
Indicates that a particular time of day is highlighted or given special prominence in relation to an event or situation.
- 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_69e11e4affcc8190ba7c27d29062558d |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f157d44a908190b16e4cfdf4591b10 |
completed | April 29, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69e73011e6388190a05edf137f488441 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:44 p.m.