Triple
T26027167
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | מכתש רמון |
E647323
|
entity |
| Predicate | שפת שם מקומית |
P24399
|
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: [מכתש רמון, שפת שם מקומית, עברית]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: שפת שם מקומית Context triple: [מכתש רמון, שפת שם מקומית, עברית]
-
A.
hasNameInLocalLanguage
Indicates that an entity is associated with a name expressed in the local or native language of a given context or region.
-
B.
officialNameLocal
Indicates the officially recognized name of an entity as used in the local or native language context.
-
C.
hasLanguageOfToponym
chosen
Indicates that a place name (toponym) is expressed in or associated with a particular language.
-
D.
localLanguageName
Indicates the name of a language as it is written or referred to in its own local or native form.
-
E.
languageUsedInLocality
Indicates that a particular language is used or spoken within a specific locality or geographic area.
- 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_69e77e8b60e88190a3b26c4f0032a2c2 |
completed | April 21, 2026, 1:41 p.m. |
| NER | Named-entity recognition | batch_69f605ec65448190895219d85eb0d6a8 |
completed | May 2, 2026, 2:10 p.m. |
| PD | Predicate disambiguation | batch_69f5aff889988190ad10bcf1a280f717 |
completed | May 2, 2026, 8:04 a.m. |
Created at: April 22, 2026, 9:05 a.m.