Triple
T11683534
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umeda, Osaka |
E277678
|
entity |
| Predicate | hasShoppingComplex |
P16039
|
FINISHED |
| Object |
Lucua Osaka
Lucua Osaka is a major modern shopping and dining complex located in the Umeda district of Osaka, Japan.
|
E940731
|
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: Lucua Osaka | Statement: [Umeda, Osaka, hasShoppingComplex, Lucua Osaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lucua Osaka Context triple: [Umeda, Osaka, hasShoppingComplex, Lucua Osaka]
-
A.
Oyugis
Oyugis is a town in western Kenya that serves as a key commercial and administrative center in the former Rachuonyo District of Homa Bay County.
-
B.
Kuwana
Kuwana is a city in central Japan known historically as a post town on the Tōkaidō route and for its cultural sites and traditional festivals.
-
C.
Ogawa
Ogawa is a town in Saitama Prefecture, Japan, known for its traditional Japanese paper (washi) production and its role as a local transport hub.
-
D.
Tenryū
Tenryū is a guardian statue associated with the famous Kaminarimon gate at Sensō-ji Temple in Tokyo, representing a protective dragon deity in Japanese Buddhist tradition.
-
E.
Nagoa
Nagoa is a village in North Goa, India, known for its proximity to popular Goan beaches and tourist areas.
- 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: Lucua Osaka Triple: [Umeda, Osaka, hasShoppingComplex, Lucua Osaka]
Generated description
Lucua Osaka is a major modern shopping and dining complex located in the Umeda district of Osaka, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lucua Osaka Target entity description: Lucua Osaka is a major modern shopping and dining complex located in the Umeda district of Osaka, Japan.
-
A.
Oyugis
Oyugis is a town in western Kenya that serves as a key commercial and administrative center in the former Rachuonyo District of Homa Bay County.
-
B.
Kuwana
Kuwana is a city in central Japan known historically as a post town on the Tōkaidō route and for its cultural sites and traditional festivals.
-
C.
Ogawa
Ogawa is a town in Saitama Prefecture, Japan, known for its traditional Japanese paper (washi) production and its role as a local transport hub.
-
D.
Tenryū
Tenryū is a guardian statue associated with the famous Kaminarimon gate at Sensō-ji Temple in Tokyo, representing a protective dragon deity in Japanese Buddhist tradition.
-
E.
Nagoa
Nagoa is a village in North Goa, India, known for its proximity to popular Goan beaches and tourist areas.
- 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_69d6aafe02d881909900d54ad7d4af84 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a462bb2881909238107d34c0a28d |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef142269d08190a9e5cf8d6268168b |
completed | April 27, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69ef35527f908190b681afdae3aec319 |
completed | April 27, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ef51ec07ec8190b5cd97cf909388f0 |
completed | April 27, 2026, 12:09 p.m. |
Created at: April 8, 2026, 9:40 p.m.