Triple
T22349158
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Tajikistan |
E552479
|
entity |
| Predicate | sideRatioGreenStripe |
P147873
|
FINISHED |
| Object | bottom 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: bottom stripe | Statement: [Flag of Tajikistan, sideRatioGreenStripe, bottom stripe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sideRatioGreenStripe Context triple: [Flag of Tajikistan, sideRatioGreenStripe, bottom 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.
yellowStripeProportion
Indicates the proportion of an object’s surface or area that is covered by yellow stripes.
-
C.
redStripeProportion
Indicates the proportion of an object’s area or length that is occupied by a red stripe.
-
D.
greenStripePosition
Indicates the relative location or alignment of a green stripe with respect to another part or reference on an object.
-
E.
greenStripeRepresents
Indicates that a green stripe symbolically stands for or denotes a particular meaning, status, or attribute in a given context.
- 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.