Triple
T22349157
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Tajikistan |
E552479
|
entity |
| Predicate | sideRatioWhiteStripe |
P147872
|
FINISHED |
| Object | middle stripe |
—
|
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: middle stripe | Statement: [Flag of Tajikistan, sideRatioWhiteStripe, middle stripe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideRatioWhiteStripe Context triple: [Flag of Tajikistan, sideRatioWhiteStripe, middle stripe]
-
A.
yellowStripeWidthRatio
Indicates the proportional width of a yellow stripe relative to a reference dimension (such as the total width or height of the object it appears on).
-
B.
outerStripeWidthRatio
Indicates the proportional width of an outer stripe relative to a reference dimension (such as the total width or another stripe).
-
C.
yellowStripeProportion
Indicates the proportion of an object’s surface or area that is covered by yellow stripes.
-
D.
whiteStripePosition
Indicates the relative location or alignment of a white stripe within or on an object.
-
E.
centralStripeWidthRatio
Indicates the proportional width of a central stripe relative to the total width of the object or area it appears on.
- F. None of above. chosen
Provenance (4 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1579a1c308190ae2174f99ae317ab |
completed | April 29, 2026, 12:58 a.m. |
| PD | Predicate disambiguation | batch_69e7300c20088190a59e5bf9e70384f3 |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:43 p.m.