Triple
T9744855
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Katsura Library |
E236280
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Kyoto, Japan |
E10010
|
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: Kyoto, Japan | Statement: [Katsura Library, locatedIn, Kyoto, Japan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyoto, Japan Context triple: [Katsura Library, locatedIn, Kyoto, Japan]
-
A.
Kyoto
chosen
Kyoto is a historic Japanese city renowned for its well-preserved temples, traditional wooden houses, and role as the former imperial capital.
-
B.
“Kyoto”
“Kyoto” is a melancholic, atmospheric cloud rap track by Swedish artist Yung Lean that became one of his breakout songs and a defining work of the Sad Boys aesthetic.
-
C.
Yamashina, Kyoto
Yamashina, Kyoto is a ward in eastern Kyoto, Japan, known historically as an early temple site and as a residential area linking central Kyoto with the neighboring Shiga Prefecture.
-
D.
Koto, Tokyo
Koto, Tokyo is a waterfront ward in eastern Tokyo known for its mix of residential areas, commercial districts, and large-scale redevelopment zones.
-
E.
Kita-ku, Kyoto
Kita-ku, Kyoto is a northern ward of Kyoto, Japan, known for its historic temples, traditional neighborhoods, and scenic mountainous surroundings.
- 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_69ca84d3e24481908a476e2231123cf9 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9f2f8e648190ad94c940f9dc1de0 |
completed | April 1, 2026, 10:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d36947145c8190a0137efdad0bca91 |
completed | April 6, 2026, 8:05 a.m. |
Created at: March 30, 2026, 8:23 p.m.