Triple
T10166154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terumah |
E235208
|
entity |
| Predicate | mustBeEaten |
P46445
|
FINISHED |
| Object | in a state of ritual purity |
—
|
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: in a state of ritual purity | Statement: [Terumah, mustBeEaten, in a state of ritual purity]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: mustBeEaten Context triple: [Terumah, mustBeEaten, in a state of ritual purity]
-
A.
isEatenFor
Indicates that one entity is consumed as food for the benefit, nourishment, or use of another entity.
-
B.
eatenAs
chosen
Indicates that one entity is consumed or used as food by another entity.
-
C.
isEatenIn
Indicates that one entity (typically food) is consumed within the context, location, or occasion specified by another entity.
-
D.
mustFace
Indicates that one entity is required or obligated to orient or direct its front side toward another entity or reference point.
-
E.
mustMeet
Indicates that one entity is required or obligated to have a meeting or encounter with another entity.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec6cf27481909f38839452ac0e37 |
completed | April 2, 2026, 4:11 a.m. |
| PD | Predicate disambiguation | batch_69cd4ba9956c8190a3e15d091e33149d |
completed | April 1, 2026, 4:45 p.m. |
Created at: March 30, 2026, 9:10 p.m.