Triple
T652701
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Night Journey of Muhammad |
E11377
|
entity |
| Predicate | timeOfOccurrence |
P3824
|
FINISHED |
| Object | night |
—
|
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: night | Statement: [Night Journey of Muhammad, timeOfOccurrence, night]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeOfOccurrence Context triple: [Night Journey of Muhammad, timeOfOccurrence, night]
-
A.
occurredDuring
chosen
Indicates that one event or action took place within the temporal span of another event or time period.
-
B.
injuryOccurredAt
Indicates that an injury took place at a specific location or during a particular event or time.
-
C.
attackDate
Indicates the calendar date on which an attack or assault event took place.
-
D.
occursWhen
Indicates that one event or condition happens at the same time or is triggered under the circumstances defined by another event or condition.
-
E.
immediateCauseDate
Indicates the specific date on which an event or condition directly caused another event or outcome to occur.
- 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_69a493266a2881909daf4c40f719dee8 |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49f4a660c8190b887cb4da01ef7ae |
completed | March 1, 2026, 8:19 p.m. |
| PD | Predicate disambiguation | batch_69a49d1001088190aa7ca3c8f2ad0e32 |
completed | March 1, 2026, 8:09 p.m. |
Created at: March 1, 2026, 7:36 p.m.