Triple
T12208744
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hobab |
E290900
|
entity |
| Predicate | offeredByMoses |
P103804
|
FINISHED |
| Object | a share in the good that the Lord would do to Israel |
—
|
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: a share in the good that the Lord would do to Israel | Statement: [Hobab, offeredByMoses, a share in the good that the Lord would do to Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: offeredByMoses Context triple: [Hobab, offeredByMoses, a share in the good that the Lord would do to Israel]
-
A.
blessingFromMosesText
Indicates that the text expresses or contains a blessing given by Moses.
-
B.
viewsMosesAs
Indicates that one entity regards or considers another entity in the role, status, or identity of Moses.
-
C.
regardsAsOnlyProphetAfterMoses
Indicates that one entity considers another entity to be the sole legitimate prophet following Moses.
-
D.
isOftenOfferedToDeity
Indicates that something is frequently presented or dedicated as an offering to a deity.
-
E.
hasVotiveOfferings
Indicates that an entity possesses or is associated with votive offerings dedicated or presented in a religious or ritual context.
- 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_69d6ab65923081909acfc61b7a612233 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d920e312708190b4aede2e21f5f697 |
completed | April 10, 2026, 4:10 p.m. |
| PD | Predicate disambiguation | batch_69d91c3d669c81908eea7ad61122d275 |
completed | April 10, 2026, 3:50 p.m. |
| PDg | Predicate description generation | batch_69d920c3dc9881908c396a4ab34f4836 |
completed | April 10, 2026, 4:09 p.m. |
Created at: April 8, 2026, 9:51 p.m.