Triple
T28681751
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Open Orthodoxy |
E726024
|
entity |
| Predicate | languageOfSelfDescription |
P196173
|
FINISHED |
| Object | open, inclusive, and halakhically committed |
—
|
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: open, inclusive, and halakhically committed | Statement: [Open Orthodoxy, languageOfSelfDescription, open, inclusive, and halakhically committed]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfSelfDescription Context triple: [Open Orthodoxy, languageOfSelfDescription, open, inclusive, and halakhically committed]
-
A.
identityLanguage
Indicates that two language entities are identical or represent the same language.
-
B.
languageOfExpression
Indicates that a particular language is used as the medium or form in which an expression (such as a text, utterance, or work) is realized.
-
C.
nativeLanguage
Indicates the language that a person or entity originally learned and uses as their primary or first language.
-
D.
parentLanguageName
Indicates the name of the language from which another language is derived or to which it is linguistically subordinate.
-
E.
languageOfOriginalDescription
Indicates that something is expressed or documented in its initial or source language version.
- 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_69f01d867608819086bc3e6b4f9de866 |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fe12a899d4819080d48423f32eace9 |
completed | May 8, 2026, 4:43 p.m. |
| PD | Predicate disambiguation | batch_69fe0d7f6aa08190a1d2dfc025d4e0dc |
completed | May 8, 2026, 4:21 p.m. |
| PDg | Predicate description generation | batch_69fe12a769c08190bc445d302d2e8f98 |
completed | May 8, 2026, 4:43 p.m. |
Created at: April 28, 2026, 5:09 a.m.