Triple
T8339866
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ramy al-Jamarat |
E195881
|
entity |
| Predicate | hasTimeWindow |
P56370
|
FINISHED |
| Object | from midday to night for most days |
—
|
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: from midday to night for most days | Statement: [Ramy al-Jamarat, hasTimeWindow, from midday to night for most days]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTimeWindow Context triple: [Ramy al-Jamarat, hasTimeWindow, from midday to night for most days]
-
A.
hasTimeOptions
Indicates that an entity is associated with one or more selectable time choices or configurations.
-
B.
hasCutoffTime
Indicates that there is a specific time limit or deadline by which an action, event, or process must be completed or initiated.
-
C.
hasTimeStart
Indicates that an event, process, or state begins at a specific point in time.
-
D.
isSetInTimePeriod
chosen
Indicates that an event, story, or situation takes place within a specified time period.
-
E.
hasTimeDepth
Indicates that something possesses or spans a measurable extent of time, such as duration, historical depth, or temporal layering.
- 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_69ca82ecbdc481908a55cad8ca062d88 |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb7fd7a3888190b54306ed862aded4 |
completed | March 31, 2026, 8:03 a.m. |
| PD | Predicate disambiguation | batch_69cb70c6d0ec8190acf273b0e007b51a |
completed | March 31, 2026, 6:59 a.m. |
Created at: March 30, 2026, 5:57 p.m.