Triple
T24294144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northwest Semitic inscriptions |
E605910
|
entity |
| Predicate | writtenInLanguageFamily |
P17999
|
FINISHED |
| Object | Northwest Semitic languages |
—
|
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 languages | Statement: [Northwest Semitic inscriptions, writtenInLanguageFamily, Northwest Semitic languages]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: writtenInLanguageFamily Context triple: [Northwest Semitic inscriptions, writtenInLanguageFamily, Northwest Semitic languages]
-
A.
languageFamilyWritten
chosen
Indicates that one language family is represented or recorded in a particular written form or script.
-
B.
inLanguageFamily
Indicates that two languages belong to the same linguistic family or classification.
-
C.
basedOnLanguageFamily
Indicates that one entity is derived from, structured according to, or otherwise determined by the language family to which another entity belongs.
-
D.
languageFamily
Indicates that two or more languages belong to the same genealogical language family or linguistic lineage.
-
E.
influencedLanguageFamily
Indicates that one language family has had a significant impact on the development, structure, or usage of another language family.
- 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_69e29549335881909cbf27adcaba1cf0 |
completed | April 17, 2026, 8:17 p.m. |
| NER | Named-entity recognition | batch_69f2915870c8819089c14de19ba2a5c5 |
completed | April 29, 2026, 11:16 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
Created at: April 18, 2026, 12:09 a.m.