Triple
T16977542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Binyamin |
E411850
|
entity |
| Predicate | motherLanguageForm |
P106922
|
FINISHED |
| Object | Hebrew name Binyāmīn |
—
|
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: Hebrew name Binyāmīn | Statement: [Binyamin, motherLanguageForm, Hebrew name Binyāmīn]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: motherLanguageForm Context triple: [Binyamin, motherLanguageForm, Hebrew name Binyāmīn]
-
A.
hasLanguageFormOf
chosen
Indicates that one entity is a specific linguistic form, expression, or realization of the language used by another entity.
-
B.
parentLanguage
Indicates that one language is the ancestral or source language from which another language is derived or historically developed.
-
C.
languageForm
Indicates the specific linguistic form or expression in which something is conveyed or represented.
-
D.
formerLanguage
Indicates that one entity was previously the language of another entity but is no longer in that role.
-
E.
nativeLanguage
Indicates the language that a person or entity originally learned and uses as their primary or first language.
- 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_69d886ca8f348190812768ea8d5055ce |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d184f2cc81908ac629c8f87696f8 |
completed | April 18, 2026, 6:46 p.m. |
| PD | Predicate disambiguation | batch_69e35d4dff4881909b384e30f2d36bff |
completed | April 18, 2026, 10:30 a.m. |
Created at: April 10, 2026, 5:32 a.m.