Triple
T11146928
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bekhorot |
E263691
|
entity |
| Predicate | closingTopic |
P98051
|
FINISHED |
| Object | laws of valuation and sanctity |
—
|
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: laws of valuation and sanctity | Statement: [Bekhorot, closingTopic, laws of valuation and sanctity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closingTopic Context triple: [Bekhorot, closingTopic, laws of valuation and sanctity]
-
A.
closingTheme
Indicates that one entity serves as the ending or closing theme (such as a song or musical piece) associated with another entity, typically a media work or episode.
-
B.
closingSection
Indicates that one entity serves as the concluding or final section of another entity (such as a document, event, or structured sequence).
-
C.
closingStimulus
Indicates that one entity serves as the stimulus or trigger that causes another entity to close or become closed.
-
D.
closedUnder
Indicates that applying a specified operation to elements within a set always produces a result that is also an element of that same set.
-
E.
closingSituation
Indicates a situation or context in which an interaction, event, or process is coming to an end or being brought to a close.
- 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_69d6aa9ccddc8190868998c8b7beb060 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e86e9ef48190b4df4b14319a954f |
completed | April 9, 2026, 5:57 p.m. |
| PD | Predicate disambiguation | batch_69d75ce104908190b6cc31ef2f67846a |
completed | April 9, 2026, 8:01 a.m. |
| PDg | Predicate description generation | batch_69d7706116248190a87440bec3960884 |
completed | April 9, 2026, 9:24 a.m. |
Created at: April 8, 2026, 9:28 p.m.