Triple
T8781017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibuya |
E208724
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Dogenzaka |
E28884
|
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: Dogenzaka | Statement: [Shibuya, contains, Dogenzaka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dogenzaka Context triple: [Shibuya, contains, Dogenzaka]
-
A.
Dogenzaka
chosen
Dogenzaka is a lively entertainment and shopping district in Shibuya, Tokyo, known for its nightlife, restaurants, and proximity to the famous Shibuya Crossing.
-
B.
Oka-dera
Oka-dera is a historic Buddhist temple in Japan’s Asuka region, known for its ancient origins and scenic hillside setting.
-
C.
Hossō
Hossō is a major school of Japanese Buddhism, derived from the Yogācāra tradition, that emphasizes the doctrine of “consciousness-only” (vijñaptimātra).
-
D.
Kodai-in
Kodai-in, better known as Nene, was the principal wife of Toyotomi Hideyoshi and a prominent noblewoman who later became a respected Buddhist nun and patron of temples in Japan’s late Sengoku period.
-
E.
Kanramachi
Kanramachi is a Japanese town known for its cultural and municipal partnership with the Italian town of Certaldo.
- 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_69ca835fbee88190bf625939bac48d7f |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f55b7b08190ab3e18cd634a144b |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa03ddd588190888250246a34089d |
completed | April 3, 2026, 11:10 a.m. |
Created at: March 30, 2026, 6:42 p.m.