Triple
T15886385
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beit knesset |
E385201
|
entity |
| Predicate | pluralFormHebrew |
P5088
|
FINISHED |
| Object | batei knesset |
—
|
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: batei knesset | Statement: [Beit knesset, pluralFormHebrew, batei knesset]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: pluralFormHebrew Context triple: [Beit knesset, pluralFormHebrew, batei knesset]
-
A.
hasSingularHebrewForm
Indicates that an entity has a corresponding singular form in the Hebrew language.
-
B.
pluralMasculineForm
Indicates that the referenced term is expressed in its plural form specifically for masculine grammatical gender.
-
C.
hasPluralForm
chosen
Indicates that one term is the plural grammatical form of another term.
-
D.
hasFemaleFormOf
Indicates that one entity is the specifically female version or form of another, more general or differently gendered entity.
-
E.
genderedPluralForm
Indicates that the plural form of a term is specifically marked or inflected to reflect a particular gender.
- 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_69d86da5b800819083a31be937d738b0 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e174de2cd48190ab18e48c9f051a2a |
completed | April 16, 2026, 11:46 p.m. |
| PD | Predicate disambiguation | batch_69e142c3e18c8190bb7b023f4a0eaebb |
completed | April 16, 2026, 8:12 p.m. |
Created at: April 10, 2026, 4:51 a.m.