Triple
T35977935
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Babylonian Talmudic academies |
E1040473
|
entity |
| Predicate | primaryTextRedacted |
P66120
|
FINISHED |
| Object | Babylonian Talmud |
E614622
|
NE 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: Babylonian Talmud | Statement: [Babylonian Talmudic academies, primaryTextRedacted, Babylonian Talmud]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTextRedacted Context triple: [Babylonian Talmudic academies, primaryTextRedacted, Babylonian Talmud]
-
A.
majorRedaction
Indicates that substantial portions of the associated content have been removed, obscured, or censored, typically altering or limiting access to the original information.
-
B.
primaryTextUsed
chosen
Indicates that a particular text is the main or principal textual content used in relation to another entity or resource.
-
C.
coverText
Indicates that one text serves as the cover or front-facing textual representation for another work or resource.
-
D.
maskReintroduced
Indicates that the use of masks has been reinstated after previously being relaxed or removed.
-
E.
primaryFront
Indicates that one entity serves as the main or most important front-facing side or surface in relation to another entity.
- F. None of above.
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_69f76e27758c81909b711cf38a130aaf |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_6a037c8d06cc8190ab6a5e18d9d2571e |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38d527e9cc81908b18ec8773c69443 |
completed | June 22, 2026, 6:24 a.m. |
| PD | Predicate disambiguation | batch_6a037a0895b48190acdd88dc10db7be7 |
completed | May 12, 2026, 7:05 p.m. |
Created at: May 3, 2026, 4:07 p.m.