Triple
T6646772
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SSG Landers |
E150719
|
entity |
| Predicate | notableSponsor |
P1807
|
FINISHED |
| Object | Shinsegae |
E614893
|
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: Shinsegae | Statement: [SSG Landers, notableSponsor, Shinsegae]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinsegae Context triple: [SSG Landers, notableSponsor, Shinsegae]
-
A.
Shinsegae Group
chosen
Shinsegae Group is a major South Korean retail conglomerate best known for its department stores, supermarkets, and diverse consumer-focused businesses.
-
B.
Lotte Group
Lotte Group is a major South Korean-Japanese multinational conglomerate with diverse businesses spanning food, retail, tourism, chemicals, and entertainment.
-
C.
Keihan Group
Keihan Group is a Japanese corporate conglomerate centered on the Keihan Electric Railway that operates transportation, real estate, retail, and leisure businesses in the Kansai region.
-
D.
Odakyu department store
Odakyu department store is a major Japanese department store chain best known for its large flagship store complex in Tokyo’s Shinjuku district.
-
E.
Tokyu Department Store
Tokyu Department Store is a Japanese department store chain known for its upscale retail offerings and flagship locations in Tokyo, particularly in the Shibuya area.
- 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_69c687f1a3048190828b7342f7125d5c |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b01cecc48190a6d2c26d8d5ab80c |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7128c4eac81909ebfe47d8d1ffe9b |
completed | March 27, 2026, 11:28 p.m. |
Created at: March 27, 2026, 2 p.m.