Triple
T33415263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flag of Karakalpakstan |
E855696
|
entity |
| Predicate | separatorStripe |
P86777
|
FINISHED |
| Object | white fimbriation |
—
|
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: white fimbriation | Statement: [Flag of Karakalpakstan, separatorStripe, white fimbriation]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: separatorStripe Context triple: [Flag of Karakalpakstan, separatorStripe, white fimbriation]
-
A.
divisionLine
Indicates a boundary or separating line that divides one area, group, or portion from another.
-
B.
separators
chosen
Indicates that one entity divides, distinguishes, or creates a boundary between two or more other entities.
-
C.
bottomStripeWidth
Indicates the width measurement of the stripe located at the bottom of an object or surface.
-
D.
separates
Indicates that one entity divides, parts, or keeps other entities apart from each other.
-
E.
separatesAt
Indicates that one entity divides or splits another entity into distinct parts at a specific point, boundary, or location.
- F. None of above.
Provenance (3 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_69f3496f04a08190804e56ac5098b8e4 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69f6e47f37848190aadb137c81760f1f |
completed | May 3, 2026, 6 a.m. |
| PD | Predicate disambiguation | batch_69f6e3da41948190a4cfe866ce184f73 |
completed | May 3, 2026, 5:57 a.m. |
Created at: May 1, 2026, 1:36 a.m.