Triple
T21632291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vakko Fashion Center and Power Media Center |
E533862
|
entity |
| Predicate | occupant |
P75
|
FINISHED |
| Object | Vakko |
—
|
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: Vakko | Statement: [Vakko Fashion Center and Power Media Center, occupant, Vakko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vakko Context triple: [Vakko Fashion Center and Power Media Center, occupant, Vakko]
-
A.
Vakko
chosen
Vakko is a prominent Turkish luxury fashion and retail brand known for its high-end clothing, accessories, and textiles.
-
B.
Vahalis
Vahalis is an ancient or historical name for the River Waal, a major distributary branch of the Rhine in the Netherlands.
-
C.
Vahka
Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
-
D.
Vakuta
Vakuta is a small inhabited island in Papua New Guinea that forms part of the culturally renowned Trobriand Islands archipelago.
-
E.
Valkarkay
Valkarkay is a remote Arctic coastal settlement in Russia that served as the landing site for the air rescue of the stranded Chelyuskin expedition in 1934.
- 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_69e0c465ae7481908577b7209fdb2a77 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5217952c8190910c2103fb4a27d9 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 16, 2026, 6:35 p.m.