Triple
T963044
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lenin Mausoleum |
E20776
|
entity |
| Predicate | nearby |
P350
|
FINISHED |
| Object | GUM department store |
E99515
|
NE 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: GUM department store | Statement: [Lenin Mausoleum, nearby, GUM department store]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: GUM department store Context triple: [Lenin Mausoleum, nearby, GUM department store]
-
A.
GUM department store
chosen
GUM department store is a historic, glass-roofed shopping arcade in central Moscow known for its grand architecture and luxury retail outlets.
-
B.
Passage department store
Passage department store is a historic and elegant shopping arcade in Saint Petersburg, Russia, renowned for its 19th-century architecture and upscale boutiques.
-
C.
Bergdorf Goodman store
Bergdorf Goodman store is a luxury department store in New York City renowned for its high-end fashion, designer brands, and iconic window displays.
-
D.
Bijenkorf department store
The Bijenkorf department store is a flagship luxury retail store in Amsterdam known for its high-end fashion, design, and prominent location in the city center.
-
E.
Shibuya 109
Shibuya 109 is a famous multi-story fashion shopping mall in Tokyo known as a trendsetting hub for youth and street fashion.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a493b21f2881908132dcf45dcd2f36 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b416cf4c8190bd685227db25fb53 |
completed | March 1, 2026, 9:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac11a6107481909b152291a73958d3 |
completed | March 7, 2026, 11:53 a.m. |
Created at: March 1, 2026, 7:40 p.m.