Triple
T26340141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of the Turkish Republic of Northern Cyprus |
E662622
|
entity |
| Predicate | bottomStripePosition |
P160258
|
FINISHED |
| Object | near lower edge |
—
|
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: near lower edge | Statement: [Flag of the Turkish Republic of Northern Cyprus, bottomStripePosition, near lower edge]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bottomStripePosition Context triple: [Flag of the Turkish Republic of Northern Cyprus, bottomStripePosition, near lower edge]
-
A.
bottomStripeWidth
Indicates the width measurement of the stripe located at the bottom of an object or surface.
-
B.
bottomStripeColor
Indicates the color that appears on the bottom stripe portion of an object or design.
-
C.
topStripeWidth
Indicates the width measurement of the topmost stripe in a striped object or pattern.
-
D.
bottomType
Indicates that the subject entity is classified as a bottom-level or most specific type within a type hierarchy.
-
E.
whiteStripePosition
Indicates the relative location or alignment of a white stripe within or on an object.
- 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_69ee81304194819092e20e0fae3aee07 |
completed | April 26, 2026, 9:18 p.m. |
| NER | Named-entity recognition | batch_69f60fa1a2e48190894526679b07d59d |
completed | May 2, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f5f7ff548c8190a23e98c5e66e0bc7 |
completed | May 2, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69f5ffc6268c8190b63f6360ebadab73 |
completed | May 2, 2026, 1:44 p.m. |
Created at: April 26, 2026, 10:38 p.m.