Triple
T8693582
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilderness wanderings (Sukkot) |
E206349
|
entity |
| Predicate | durationOfFestivalContext |
P84227
|
FINISHED |
| Object | seven days in the Land of Israel |
—
|
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: seven days in the Land of Israel | Statement: [Wilderness wanderings (Sukkot), durationOfFestivalContext, seven days in the Land of Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: durationOfFestivalContext Context triple: [Wilderness wanderings (Sukkot), durationOfFestivalContext, seven days in the Land of Israel]
-
A.
eraDuration
Indicates the length of time that a particular era or period spans.
-
B.
festivalDay
Indicates that a given day is designated as a festival or celebration day within a particular context or calendar.
-
C.
poloFestivalDuration
Indicates the length of time for which a polo festival takes place or is scheduled to occur.
-
D.
hasFestivalContext
Indicates that something is related to, occurs within, or is characterized by the setting, activities, or circumstances of a festival.
-
E.
determinesFestival
Indicates that one entity decides, defines, or selects which festival is applicable or will occur for another entity or context.
- 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_69ca835481fc819084e33d3bc883bfa6 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5826bbb48190a212fb1bb06e05e6 |
completed | March 31, 2026, 11:26 p.m. |
| PD | Predicate disambiguation | batch_69cc4569f9048190b9c86b4c81103d35 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc483f06f48190879f4702c8b4ed00 |
completed | March 31, 2026, 10:18 p.m. |
Created at: March 30, 2026, 6:33 p.m.