Triple
T19592362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | חיים |
E470266
|
entity |
| Predicate | grammaticalNumberOrigin |
P11612
|
FINISHED |
| Object | plural form in Hebrew |
—
|
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: plural form in Hebrew | Statement: [חיים, grammaticalNumberOrigin, plural form in Hebrew]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: grammaticalNumberOrigin Context triple: [חיים, grammaticalNumberOrigin, plural form in Hebrew]
-
A.
hasGrammaticalNumber
chosen
Indicates that an expression is associated with a specific grammatical number category (such as singular, plural, or dual) in a language.
-
B.
numberOfGrammaticalCases
Indicates the relationship that specifies how many distinct grammatical cases a language or linguistic system possesses.
-
C.
hasGenderedFormOrigin
Indicates that one form of an entity originates from or is derived based on a specific grammatical or social gender.
-
D.
grammaticalForm
Indicates the specific grammatical structure or morphological form that an expression or word takes in a given linguistic context.
-
E.
hasGrammaticalGender
Indicates that one entity assigns or possesses a specific grammatical gender in relation to another entity (such as a word, phrase, or linguistic unit).
- 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_69d8e510024481908415c0d616fa6186 |
completed | April 10, 2026, 11:54 a.m. |
| NER | Named-entity recognition | batch_69e64057460c8190962e2e58f06b3985 |
completed | April 20, 2026, 3:03 p.m. |
| PD | Predicate disambiguation | batch_69e514dbdb988190b55931a8138c73e7 |
completed | April 19, 2026, 5:46 p.m. |
Created at: April 10, 2026, 1:43 p.m.