Triple
T35582335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Deuteronomy 6:7 |
E1028254
|
entity |
| Predicate | keyPhraseEnglish |
P137253
|
FINISHED |
| Object | “You shall teach them diligently to your children” |
—
|
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: “You shall teach them diligently to your children” | Statement: [Deuteronomy 6:7, keyPhraseEnglish, “You shall teach them diligently to your children”]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: keyPhraseEnglish Context triple: [Deuteronomy 6:7, keyPhraseEnglish, “You shall teach them diligently to your children”]
-
A.
textKeyPhraseEnglish
chosen
Indicates that the relationship specifies an English-language key phrase extracted or assigned as textual metadata.
-
B.
keyTerm
Indicates that a term functions as a primary or central concept within a given context or information structure.
-
C.
keySaying
Indicates that an entity is a notable or characteristic saying, phrase, or quotation associated with another entity.
-
D.
languageTerm
Indicates that one entity is a linguistic expression (word, phrase, or term) used to denote or label the other entity.
-
E.
keyOfWork
Indicates that one entity specifies the musical key in which a particular work is composed or performed.
- 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_69f76e0495a081909beced418558c0b4 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69f79ec355048190af30123ceb6efa2b |
completed | May 3, 2026, 7:15 p.m. |
| PD | Predicate disambiguation | batch_69f79e4bdbcc8190be7a0d2cf8a77b64 |
completed | May 3, 2026, 7:13 p.m. |
Created at: May 3, 2026, 4:04 p.m.