Triple
T22972812
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Andorra |
E571233
|
entity |
| Predicate | yellowStripePosition |
P150451
|
FINISHED |
| Object | center |
—
|
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: center | Statement: [Flag of Andorra, yellowStripePosition, center]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yellowStripePosition Context triple: [Flag of Andorra, yellowStripePosition, center]
-
A.
greenStripePosition
Indicates the relative location or alignment of a green stripe with respect to another part or reference on an object.
-
B.
yellowStripeProportion
Indicates the proportion of an object’s surface or area that is covered by yellow stripes.
-
C.
yellowStripeRepresents
Indicates that a yellow stripe symbolically stands for or denotes a particular meaning, status, or attribute in a given context.
-
D.
whiteStripePosition
Indicates the relative location or alignment of a white stripe within or on an object.
-
E.
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).
- 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_69e245b2c6548190a0e4c7f2f7df2d48 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f182343a448190a5259cdf721c9d04 |
completed | April 29, 2026, 3:59 a.m. |
| PD | Predicate disambiguation | batch_69ef3b9101f48190a06c69dff26c6441 |
completed | April 27, 2026, 10:33 a.m. |
| PDg | Predicate description generation | batch_69ef538a115081908982597f79355840 |
completed | April 27, 2026, 12:16 p.m. |
Created at: April 17, 2026, 3:48 p.m.