Triple
T12915843
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Okubo Park |
E308978
|
entity |
| Predicate | operator |
P179
|
FINISHED |
| Object | Shinjuku City |
E916088
|
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: Shinjuku City | Statement: [Okubo Park, operator, Shinjuku City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinjuku City Context triple: [Okubo Park, operator, Shinjuku City]
-
A.
Shinjuku
Shinjuku is a major commercial and entertainment district in western Tokyo, known for its busy railway station, skyscrapers, shopping, nightlife, and the Tokyo Metropolitan Government Building.
-
B.
Shibuya City
Shibuya City is a major commercial and entertainment district in central Tokyo, Japan, famous for its bustling scramble crossing, youth culture, and fashion scene.
-
C.
Shinjuku, Tokyo
chosen
Shinjuku, Tokyo is a major commercial and administrative center of Tokyo known for its busy railway station, skyscraper district, and vibrant nightlife areas like Kabukicho.
-
D.
Shibuya
Shibuya is a major commercial and entertainment district in Tokyo, Japan, famous for its bustling streets, youth culture, and iconic landmarks.
-
E.
Kōtō, Tokyo
Kōtō, Tokyo is a special ward in eastern Tokyo known for its extensive waterfront areas, canals, and a mix of residential, commercial, and industrial districts.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a1e8088190af697629baecf59f |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe6b366470819093a74828e2a85116 |
completed | May 8, 2026, 11:01 p.m. |
Created at: April 9, 2026, 5:41 p.m.