Triple
T27976007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | سرخپوشان |
E706491
|
entity |
| Predicate | ویژگی متمایزکننده |
P128575
|
FINISHED |
| Object | رنگ قرمز لباس یا نماد تیم |
—
|
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: رنگ قرمز لباس یا نماد تیم | Statement: [سرخپوشان, ویژگی متمایزکننده, رنگ قرمز لباس یا نماد تیم]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: ویژگی متمایزکننده Context triple: [سرخپوشان, ویژگی متمایزکننده, رنگ قرمز لباس یا نماد تیم]
-
A.
distinguishingTrait
chosen
Indicates that a particular characteristic or feature uniquely differentiates one entity from another.
-
B.
valueCharacteristic
Indicates that one entity serves as a value or specific quantitative/qualitative measure that characterizes or describes another entity.
-
C.
entityCharacteristic
Indicates that an entity possesses, exhibits, or is defined by a particular characteristic or attribute.
-
D.
يميز
Indicates that one entity distinguishes, differentiates, or sets something apart from something else.
-
E.
dataCharacteristic
Indicates that one entity specifies a property, attribute, or feature that characterizes a given piece of data.
- 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.