Triple
T10724504
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jetur |
E252903
|
entity |
| Predicate | sourceTextReference |
P409
|
FINISHED |
| Object | Genesis 25:13-15 |
—
|
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: Genesis 25:13-15 | Statement: [Jetur, sourceTextReference, Genesis 25:13-15]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sourceTextReference Context triple: [Jetur, sourceTextReference, Genesis 25:13-15]
-
A.
typicalSourceText
Indicates that the related entity is a common or representative textual source from which information, examples, or data about another entity are typically drawn.
-
B.
source
chosen
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
C.
symbolReferenced
Indicates that one symbol is mentioned, cited, or otherwise referred to by another symbol.
-
D.
symbolText
Indicates that a symbol is associated with or represented by a specific piece of text.
-
E.
sourceState
Indicates the original or starting state from which a transition, change, or process begins.
- 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_69d6aa5d8be481909a43218b2bfdbe95 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d70d46234081908e147638d0cb7e22 |
completed | April 9, 2026, 2:21 a.m. |
| PD | Predicate disambiguation | batch_69d6f309a44881908e49e3ba478c35b4 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:14 p.m.