Triple
T21586527
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vakko Fashion Center and Power Media Center |
E532664
|
entity |
| Predicate | usedBy |
P260
|
FINISHED |
| Object |
Vakko
Vakko is a prominent Turkish luxury fashion and retail brand known for its high-end clothing, accessories, and textiles.
|
E1491996
|
NE FINISHED |
How this triple was built (4 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, usedBy, 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, usedBy, Vakko]
-
A.
Vahalis
Vahalis is an ancient or historical name for the River Waal, a major distributary branch of the Rhine in the Netherlands.
-
B.
Vahka
Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
-
C.
Vakuta
Vakuta is a small inhabited island in Papua New Guinea that forms part of the culturally renowned Trobriand Islands archipelago.
-
D.
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.
-
E.
Vawkavisk
Vawkavisk is a town in western Belarus known for its long history dating back to medieval times and its role as a regional cultural and economic center.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Vakko Triple: [Vakko Fashion Center and Power Media Center, usedBy, Vakko]
Generated description
Vakko is a prominent Turkish luxury fashion and retail brand known for its high-end clothing, accessories, and textiles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vakko Target entity description: Vakko is a prominent Turkish luxury fashion and retail brand known for its high-end clothing, accessories, and textiles.
-
A.
Vahalis
Vahalis is an ancient or historical name for the River Waal, a major distributary branch of the Rhine in the Netherlands.
-
B.
Vahka
Vahka was a medieval town that served as an early capital of the Armenian Kingdom of Cilicia.
-
C.
Vakuta
Vakuta is a small inhabited island in Papua New Guinea that forms part of the culturally renowned Trobriand Islands archipelago.
-
D.
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.
-
E.
Vawkavisk
Vawkavisk is a town in western Belarus known for its long history dating back to medieval times and its role as a regional cultural and economic center.
- F. None of above. chosen
Provenance (5 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_69e0c46251648190876f0427cf2d321b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eeeb6137fc8190840b7c1275e62a1d |
completed | April 27, 2026, 4:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a09f67cc2288190886c4124c97edb67 |
completed | May 17, 2026, 5:10 p.m. |
| NEDg | Description generation | batch_6a09f9614ab88190806a3ed38b7ba537 |
completed | May 17, 2026, 5:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a09fa3c92a8819082e454d907971b21 |
completed | May 17, 2026, 5:26 p.m. |
Created at: April 16, 2026, 6:31 p.m.