Triple
T27976011
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سرخپوشان |
E706491
|
entity |
| Predicate | جزء واژه «سرخ» |
P5298
|
FINISHED |
| Object | بهمعنای رنگ قرمز |
—
|
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: بهمعنای رنگ قرمز | Statement: [سرخپوشان, جزء واژه «سرخ», بهمعنای رنگ قرمز]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: جزء واژه «سرخ» Context triple: [سرخپوشان, جزء واژه «سرخ», بهمعنای رنگ قرمز]
-
A.
partOfLexicon
Indicates that a linguistic unit (such as a word or expression) belongs to or is included within a particular lexicon or vocabulary set.
-
B.
word1
Indicates that there is a first word in a sequence or pair that participates in the specified relationship.
-
C.
شكل_في_آخر_الكلمة
Indicates that something represents the form or shape that a character or element takes when it appears at the end of a word.
-
D.
partOfLanguage
Indicates that one linguistic element belongs to, is included within, or is a component of a particular language.
-
E.
partOfName
chosen
Indicates that one string is a component or substring that forms part of another entity’s name.
- 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_69f63b38a5c081908edb1c9a415c914b |
completed | May 2, 2026, 5:58 p.m. |
| PD | Predicate disambiguation | batch_69f63710d17c819084cfe96e6df334fd |
completed | May 2, 2026, 5:40 p.m. |
Created at: April 27, 2026, 7:41 p.m.