Triple
T20321107
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Commentaries of Rashi on Mishnah Berakhot |
E492207
|
entity |
| Predicate | approachToLanguage |
P56443
|
FINISHED |
| Object | explanation of Aramaic and rare Hebrew terms |
—
|
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: explanation of Aramaic and rare Hebrew terms | Statement: [Commentaries of Rashi on Mishnah Berakhot, approachToLanguage, explanation of Aramaic and rare Hebrew terms]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: approachToLanguage Context triple: [Commentaries of Rashi on Mishnah Berakhot, approachToLanguage, explanation of Aramaic and rare Hebrew terms]
-
A.
focusesOnLanguage
chosen
Indicates that an entity’s primary attention, activity, or content is directed toward language as its main subject or concern.
-
B.
learnsLanguageFrom
Indicates that one entity acquires or improves knowledge of a language through instruction, exposure, or guidance provided by another entity.
-
C.
languageOfDevelopment
Indicates the programming or natural language used to develop, implement, or create a given entity.
-
D.
languageAcquisitionContext
Indicates the situational or environmental context in which an entity learns or acquires a language.
-
E.
recommendsLanguage
Indicates that one entity suggests or endorses a particular language for use by another entity or in a specific context.
- 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_69e0b4a0134081909113563e1c3ba68a |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6778b8b648190b80badaf15be2599 |
completed | April 20, 2026, 6:59 p.m. |
| PD | Predicate disambiguation | batch_69e5762655ac8190a8cc48a29fa2c0c4 |
completed | April 20, 2026, 12:41 a.m. |
Created at: April 16, 2026, 11:20 a.m.