Triple
T36934224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gouden Kalf |
E913567
|
entity |
| Predicate | eventOccursDuring |
P3824
|
FINISHED |
| Object | Moses’ absence on Mount Sinai |
—
|
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: Moses’ absence on Mount Sinai | Statement: [Gouden Kalf, eventOccursDuring, Moses’ absence on Mount Sinai]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: eventOccursDuring Context triple: [Gouden Kalf, eventOccursDuring, Moses’ absence on Mount Sinai]
-
A.
occurredDuring
chosen
Indicates that one event or action took place within the temporal span of another event or time period.
-
B.
eventOccurredAt
Indicates that a particular event took place at a specific time or location.
-
C.
meetsInTimePeriod
Indicates that two entities encounter or come together during a specified time period.
-
D.
meetsDuring
Indicates that one entity encounters or comes together with another while a specified event or time interval is in progress.
-
E.
regionDuringEvent
Indicates that a specified region is associated with or exists within the spatial scope of a particular event during its occurrence.
- 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_69f76e896c988190880c130e01303dd4 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fba2877b248190a974eb092243c0c4 |
completed | May 6, 2026, 8:20 p.m. |
| PD | Predicate disambiguation | batch_69fb8d06a1b48190a937aa410d159dfa |
completed | May 6, 2026, 6:48 p.m. |
Created at: May 3, 2026, 4:13 p.m.