Triple
T12166453
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higashiyama culture |
E289843
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Higashiyama district |
E1082103
|
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: Higashiyama district | Statement: [Higashiyama culture, namedAfter, Higashiyama district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Higashiyama district Context triple: [Higashiyama culture, namedAfter, Higashiyama district]
-
A.
Higashiyama-ku
Higashiyama-ku is a historic ward in Kyoto, Japan, renowned for its preserved traditional streets, temples, and cultural landmarks.
-
B.
Higashiyama area
chosen
The Higashiyama area is a historic district in eastern Kyoto known for its preserved traditional streets, temples, and cultural landmarks.
-
C.
Nishijin district
Nishijin district is a historic area in Kyoto renowned as the traditional center of high-quality silk weaving and textile production.
-
D.
Nihombashi district
Nihombashi district is a historic commercial and financial center of Tokyo known for its traditional merchants, department stores, and role as a major business hub.
-
E.
Shimogyo-ku
Shimogyo-ku is a central ward of Kyoto, Japan, known for its major commercial areas, transportation hubs, and historic sites.
- 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_69d6ab4d6c00819095a9a7c35de83cfb |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915d7109481908bf5fe512bba3c89 |
completed | April 10, 2026, 3:23 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffc3ab3c8881909da34dc94a1deff2 |
completed | May 9, 2026, 11:30 p.m. |
Created at: April 8, 2026, 9:50 p.m.