Triple
T27976095
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derby-ye Tehrān |
E706493
|
entity |
| Predicate | associatedColorOfPersepolis |
P65875
|
FINISHED |
| Object | red |
—
|
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: red | Statement: [Derby-ye Tehrān, associatedColorOfPersepolis, red]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedColorOfPersepolis Context triple: [Derby-ye Tehrān, associatedColorOfPersepolis, red]
-
A.
associatedColour
chosen
Indicates that one entity is linked to another as its characteristic or representative colour.
-
B.
sacredColor
Indicates that a particular color is regarded as holy, revered, or religiously significant in relation to an entity or context.
-
C.
colorYetzirah
Indicates that one entity is associated with, characterized by, or assigned a specific color within the context of Yetzirah (the formative world or level in certain mystical or symbolic systems).
-
D.
hasMinaretColor
Indicates that a minaret possesses a specific color as one of its attributes.
-
E.
pomegranateColor
Indicates the color attribute or hue associated with a pomegranate.
- 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_6a00a094c44c81908e4501151688a635 |
completed | May 10, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_6a009fcdfd848190841deaad9667d347 |
completed | May 10, 2026, 3:10 p.m. |
Created at: April 27, 2026, 7:41 p.m.