Triple
T26363587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the Altai Republic |
E660270
|
entity |
| Predicate | lightBlueWideStripePosition |
P160999
|
FINISHED |
| Object | bottom main field |
—
|
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 main field | Statement: [Flag of the Altai Republic, lightBlueWideStripePosition, bottom main field]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: lightBlueWideStripePosition Context triple: [Flag of the Altai Republic, lightBlueWideStripePosition, bottom main field]
-
A.
whiteStripePosition
Indicates the relative location or alignment of a white stripe within or on an object.
-
B.
yellowStripePosition
Indicates the relative location or arrangement of a yellow stripe on or within an entity.
-
C.
thinStripesPosition
Indicates the relative location or arrangement of thin stripes on or within an object or surface.
-
D.
greenStripePosition
Indicates the relative location or alignment of a green stripe with respect to another part or reference on an object.
-
E.
blueStripeProportion
Indicates the proportion of an entity’s surface or area that is covered by a blue stripe relative to its total extent.
- 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_69ee8126d52c8190bc0b34337c2c9aa8 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f61029fff08190b5a3a63e755707d9 |
completed | May 2, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69f60b89cc048190a9feb24466006be0 |
completed | May 2, 2026, 2:34 p.m. |
| PDg | Predicate description generation | batch_69f60f24ed608190bffe6c6084fc2f7a |
completed | May 2, 2026, 2:50 p.m. |
Created at: April 26, 2026, 10:53 p.m.