Triple
T27976017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سرخپوشان |
E706491
|
entity |
| Predicate | حوزهٔ معنایی |
P91671
|
FINISHED |
| Object | هواداری ورزشی |
—
|
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: هواداری ورزشی | Statement: [سرخپوشان, حوزهٔ معنایی, هواداری ورزشی]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: حوزهٔ معنایی Context triple: [سرخپوشان, حوزهٔ معنایی, هواداری ورزشی]
-
A.
семантическоеПоле
chosen
Indicates that entities are related by belonging to the same semantic field, i.e., they share a common area of meaning or conceptual domain.
-
B.
hasMeaningInPersian
Indicates that something (such as a word, phrase, or symbol) possesses a specific meaning when interpreted in the Persian language.
-
C.
hasMeaningCategory
Indicates that something is associated with a particular category of meaning or semantic type.
-
D.
conceptualMeaning
Indicates the abstract idea, concept, or underlying significance that something represents or conveys.
-
E.
semanticRootMeaning
Indicates the fundamental or core meaning that underlies a word, phrase, or expression in a semantic structure.
- 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_69ef96b7f330819090f315318ba6977e |
completed | April 27, 2026, 5:02 p.m. |
| NER | Named-entity recognition | batch_69f63fd79e4c8190af9263b679e5ff07 |
completed | May 2, 2026, 6:17 p.m. |
| PD | Predicate disambiguation | batch_69f63c6a8474819091b8c6fe98e3862d |
completed | May 2, 2026, 6:03 p.m. |
Created at: April 27, 2026, 7:41 p.m.