Triple
T17117054
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shirakawa area |
E415366
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Gion |
—
|
NE NERFINISHED |
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: Gion | Statement: [Shirakawa area, partOf, Gion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gion Context triple: [Shirakawa area, partOf, Gion]
-
A.
Gion district
chosen
Gion district is Kyoto’s famous traditional entertainment quarter, renowned for its historic wooden machiya houses, teahouses, and geisha (geiko and maiko) culture.
-
B.
Komagome
Komagome is a residential and commercial neighborhood in Tokyo known for its traditional atmosphere, historic temples, and the renowned Rikugien Garden.
-
C.
Sakuragaokacho
Sakuragaokacho is a neighborhood in Tokyo’s Shibuya ward known for its urban atmosphere and proximity to Shibuya Station.
-
D.
Fushimi
Fushimi is a historic district in Kyoto, Japan, known for its castle and its association with key events and figures of the late Sengoku period.
-
E.
Fushimi
Fushimi is a central commercial and business district in Nagoya, Japan, known for its offices, shopping, dining, and cultural attractions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d886d090cc8190a39cb94992586905 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3e80660048190832d8f91415dd7d7 |
completed | April 18, 2026, 8:22 p.m. |
Created at: April 10, 2026, 5:35 a.m.