Triple
T31064290
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minor tractates |
E791625
|
entity |
| Predicate | notSystematicallyCoveredIn |
P10124
|
FINISHED |
| Object | main Talmudic tractates |
—
|
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: main Talmudic tractates | Statement: [Minor tractates, notSystematicallyCoveredIn, main Talmudic tractates]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: notSystematicallyCoveredIn Context triple: [Minor tractates, notSystematicallyCoveredIn, main Talmudic tractates]
-
A.
doesNotCover
chosen
Indicates that one entity fails to include, protect, or extend over another entity or area.
-
B.
notObservedIn
Indicates that a particular entity, event, or property has not been detected, recorded, or seen within a specified context, dataset, or environment.
-
C.
notDescribedAs
Indicates that an entity is explicitly not characterized, labeled, or referred to using a particular description or term.
-
D.
notFullyAdoptedIn
Indicates that something has not been completely or universally implemented, accepted, or put into practice within a specified context or domain.
-
E.
notAbout
Indicates that a given entity, statement, or resource does not concern, reference, or pertain to another specified entity or topic.
- 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_69f224cc0c5c81908404f087bff92997 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69579eda48190b1bd6e7ce026b538 |
completed | May 3, 2026, 12:23 a.m. |
| PD | Predicate disambiguation | batch_69f690f13d7481908ddfefe95df2a1c2 |
completed | May 3, 2026, 12:04 a.m. |
Created at: April 29, 2026, 9:01 p.m.