Triple
T19289567
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elohim |
E482403
|
entity |
| Predicate | typicalVerbAgreement |
P7764
|
FINISHED |
| Object | singular in reference to God of 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: singular in reference to God of Israel | Statement: [Elohim, typicalVerbAgreement, singular in reference to God of Israel]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalVerbAgreement Context triple: [Elohim, typicalVerbAgreement, singular in reference to God of Israel]
-
A.
grammaticalPersonOfVerb
Indicates the grammatical person (first, second, or third person) associated with a given verb form.
-
B.
grammaticalMood
Indicates the grammatical mood used in an utterance, specifying the speaker’s attitude toward the action or state (such as indicative, imperative, or subjunctive).
-
C.
hasTense
Indicates that an action, event, or state is associated with a specific grammatical tense (such as past, present, or future).
-
D.
grammaticalAlignment
Indicates how a language aligns core grammatical roles (such as subject, object, or agent, patient) in its case marking or agreement system.
-
E.
grammaticalForm
chosen
Indicates the specific grammatical structure or morphological form that an expression or word takes in a given linguistic context.
- 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_69d8e8cf61b0819096fe3e4107827c4e |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e5fc050a888190ac204d1e736200c5 |
completed | April 20, 2026, 10:12 a.m. |
| PD | Predicate disambiguation | batch_69e4dd0bc7508190a6f9d56bd4c3404f |
completed | April 19, 2026, 1:47 p.m. |
Created at: April 10, 2026, 1:30 p.m.