Triple
T8781000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shibuya |
E208724
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Center Gai |
E23565
|
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: Center Gai | Statement: [Shibuya, contains, Center Gai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Center Gai Context triple: [Shibuya, contains, Center Gai]
-
A.
Center Gai
chosen
Center Gai is a bustling, neon-lit pedestrian street in Tokyo’s Shibuya district, known for its youth culture, fashion, and nightlife.
-
B.
Sendagaya
Sendagaya is a neighborhood in Tokyo known for its sports facilities, including the National Stadium, and its proximity to Shinjuku and Harajuku.
-
C.
Gyoda
Gyoda is a historic city in eastern Japan known for its ancient rice paddies, traditional tabi sock production, and preserved castle town atmosphere.
-
D.
Gai
Gai is a given name and variant of "Guy," used in various cultures as a masculine personal name.
-
E.
Kenter
Kenter is a Turkish surname most prominently associated with the acclaimed stage and film actress Yıldız Kenter and her family of influential theatre artists.
- 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_69cf51df4a608190883a093dbd169976 |
completed | April 3, 2026, 5:36 a.m. |
Created at: March 30, 2026, 6:42 p.m.