Triple
T7347961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sadaqah |
E169424
|
entity |
| Predicate | preferredForm |
P55012
|
FINISHED |
| Object | givenSecretly |
—
|
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: givenSecretly | Statement: [Sadaqah, preferredForm, givenSecretly]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: preferredForm Context triple: [Sadaqah, preferredForm, givenSecretly]
-
A.
alternativeForm
Indicates that one entity is an alternative version, variant, or representation of another entity.
-
B.
preferredCapitalization
Indicates the specific way a term’s letters should be capitalized when it is written or displayed.
-
C.
dominantFormOf
Indicates that one form of something is the primary, prevailing, or most influential version relative to another form.
-
D.
primaryFor
chosen
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
E.
dominantForm
Indicates that one form, type, or variant is the primary or most prevalent version relative to others in a given 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_69c68a5878888190968ce4d04db8d69f |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f139505c8190a7158cf59a6e089e |
completed | March 27, 2026, 9:06 p.m. |
| PD | Predicate disambiguation | batch_69c6f02aeeb8819099d1626566cec18b |
completed | March 27, 2026, 9:01 p.m. |
Created at: March 27, 2026, 3:05 p.m.