Triple
T13379377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | משמר הגבול |
E319273
|
entity |
| Predicate | שפה_עיקרית |
P1252
|
FINISHED |
| Object | עברית |
—
|
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: עברית | Statement: [משמר הגבול, שפה_עיקרית, עברית]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: שפה_עיקרית Context triple: [משמר הגבול, שפה_עיקרית, עברית]
-
A.
primaryLanguageIn
Indicates that a specified language is the main or official language used within a particular place, organization, or context.
-
B.
primaryLanguageOf
chosen
Indicates that a specified language is the main or official language used by a particular entity (such as a person, organization, or region).
-
C.
primaryLanguageType
Indicates the main category or kind of language (such as spoken, written, or signed) that serves as the primary mode of communication in a given context or for a given entity.
-
D.
primaryLexifierLanguage
Indicates the main source language from which the core vocabulary and structure of another language, typically a contact or creole language, are primarily derived.
-
E.
partOfLanguage
Indicates that one linguistic element belongs to, is included within, or is a component of a particular 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_69d806b886bc8190b676e7768b8e01c5 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dadce56c6c8190adf4e19f6d1bc233 |
completed | April 11, 2026, 11:44 p.m. |
| PD | Predicate disambiguation | batch_69d9a03189908190a784a2755f8d81e1 |
completed | April 11, 2026, 1:13 a.m. |
Created at: April 9, 2026, 9:33 p.m.