Triple
T18828684
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Number One |
E460463
|
entity |
| Predicate | alias |
P39
|
FINISHED |
| Object | Una |
—
|
NE NERFINISHED |
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: Una | Statement: [Number One, alias, Una]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Una Context triple: [Number One, alias, Una]
-
A.
Una
chosen
Una is a feminine given name of Latin origin meaning "one" or "unity," used in various cultures and literary works.
-
B.
Una
Una is a river in the Western Balkans, known for its clear turquoise waters and scenic canyons along the border of Bosnia and Herzegovina and Croatia.
-
C.
Una
Una is a town in the Gir Somnath district of Gujarat, India, known as a local commercial and transportation hub near the Saurashtra coast.
-
D.
Una
Una is a small census-designated community located in Spartanburg County, South Carolina.
-
E.
Una
Una is the live lioness who serves as the official mascot for the University of North Alabama’s athletic teams.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcf94c288190a06dea029ae4b223 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5a99554848190933dd2810f5c810f |
completed | April 20, 2026, 4:20 a.m. |
Created at: April 10, 2026, 11:56 a.m.