Triple
T28575513
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elʿāzār |
E723229
|
entity |
| Predicate | hasOriginalLanguageBranch |
P142778
|
FINISHED |
| Object | Northwest Semitic |
—
|
NE NERFINISHED |
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: Northwest Semitic | Statement: [Elʿāzār, hasOriginalLanguageBranch, Northwest Semitic]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasOriginalLanguageBranch Context triple: [Elʿāzār, hasOriginalLanguageBranch, Northwest Semitic]
-
A.
hasPrimaryLanguageBranch
Indicates that an entity’s main or dominant language belongs to a specified language branch or family.
-
B.
hasPrimaryLanguageSubbranch
Indicates that one language subbranch is the main or principal subbranch associated with a given language or language family.
-
C.
hasLanguageOfOrigin
Indicates that one entity has its origin or source in the language specified by another entity.
-
D.
possibleLanguageBranch
chosen
Indicates that one entity may belong to, derive from, or be classified under the language branch represented by the other entity, without asserting this relationship as certain.
-
E.
hasLanguageOfOriginalInstitution
Indicates that an institution is associated with a specific original or primary language in which it operates or was established.
- 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_69f01d7e97708190ae9e77ee66a68abd |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69f7b5ccbda481908fe1945c35e36ce8 |
completed | May 3, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69f7b4c06f5881908f0b98cad6796478 |
completed | May 3, 2026, 8:49 p.m. |
Created at: April 28, 2026, 4:12 a.m.