Triple
T31399175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سيح داريا |
E800944
|
entity |
| Predicate | أصل_الاسم |
P3325
|
FINISHED |
| Object | التركية / الفارسية (داريا = نهر أو بحر) |
—
|
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: التركية / الفارسية (داريا = نهر أو بحر) | Statement: [سيح داريا, أصل_الاسم, التركية / الفارسية (داريا = نهر أو بحر)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: أصل_الاسم Context triple: [سيح داريا, أصل_الاسم, التركية / الفارسية (داريا = نهر أو بحر)]
-
A.
nameOf
Indicates that one entity is the name or designation of another entity.
-
B.
hasNameOrigin
chosen
Indicates that the origin or source of an entity’s name is specified by the related entity.
-
C.
importName
Indicates that one entity brings another entity into a scope, module, or context under a specific name used for reference.
-
D.
etymologicalRootName
Indicates that one name is derived from, or originates etymologically in, another name.
-
E.
nameGivesRiseTo
Indicates that one name, term, or designation leads to, causes, or results in the emergence or establishment of another.
- 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_69f224ea9998819086ae2e4f4f4091c8 |
completed | April 29, 2026, 3:34 p.m. |
| NER | Named-entity recognition | batch_69f6a5f71b2c8190aade8a83f465be0c |
completed | May 3, 2026, 1:33 a.m. |
| PD | Predicate disambiguation | batch_69f69fe66df08190958558d63ee623d9 |
completed | May 3, 2026, 1:07 a.m. |
Created at: April 29, 2026, 9:19 p.m.