Triple
T31399161
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سيح داريا |
E800944
|
entity |
| Predicate | منبع |
P409
|
FINISHED |
| Object | جبال تيان شان |
—
|
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: جبال تيان شان | Statement: [سيح داريا, منبع, جبال تيان شان]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: منبع Context triple: [سيح داريا, منبع, جبال تيان شان]
-
A.
source
chosen
Indicates that something originates from, is derived from, or is provided by a particular entity or location.
-
B.
المنشأ
Indicates the origin or source from which an entity, action, or relationship arises or is derived.
-
C.
editorialSource
Indicates that one entity serves as the editorial origin, provider, or authority for the content or information associated with another entity.
-
D.
knowledgeSource
Indicates that one entity serves as the origin, provider, or reference of information or understanding for another entity.
-
E.
materialSource
Indicates that one entity serves as the origin or provider of the material or substance used by another entity.
- 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.