Triple
T23319983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Uyugan |
E591123
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object | Ivana |
—
|
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: Ivana | Statement: [Uyugan, locatedNear, Ivana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ivana Context triple: [Uyugan, locatedNear, Ivana]
-
A.
Ivana
Ivana is a feminine given name, common in Slavic countries, that is a variant of the name Joanna/John.
-
B.
Ivana
chosen
Ivana is a small coastal municipality in the province of Batanes in the northern Philippines, known for its traditional stone houses and scenic seascapes.
-
C.
Ivana Omazic
Ivana Omazic is a Croatian fashion designer best known for her tenure as creative director at the French luxury brand Céline in the mid-2000s.
-
D.
Ivana Vrdoljak
Ivana Vrdoljak is a Croatian sculptor and artist best known as the wife of actor Goran Višnjić.
-
E.
Ivana Marie Zelníčková
Ivana Marie Zelníčková, better known as Ivana Trump, was a Czech-American businesswoman, former model, and the first wife of Donald Trump, noted for her role in his early real estate empire and her own fashion and lifestyle ventures.
- 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_69e25d1effe4819096907f95f610dbff |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1978440888190b316664812105d60 |
completed | April 29, 2026, 5:30 a.m. |
Created at: April 17, 2026, 5:07 p.m.