Triple
T4058241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Higashiyama Campus |
E84745
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object | Higashiyama area of Nagoya |
E383750
|
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 area of Nagoya | Statement: [Higashiyama Campus, namedAfter, Higashiyama area of Nagoya]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Higashiyama area of Nagoya Context triple: [Higashiyama Campus, namedAfter, Higashiyama area of Nagoya]
-
A.
Sakae district of Nagoya
The Sakae district of Nagoya is the city’s main downtown area, known for its shopping, entertainment, and commercial centers.
-
B.
Naka Ward, Nagoya
Naka Ward, Nagoya is a central district of Nagoya, Japan, known as a major commercial, entertainment, and cultural hub of the city.
-
C.
Chikusa-ku, Nagoya
chosen
Chikusa-ku, Nagoya is a ward in the city of Nagoya, Japan, known for its academic institutions, residential neighborhoods, and cultural facilities.
-
D.
Atsuta-ku, Nagoya
Atsuta-ku, Nagoya is a ward in the city of Nagoya, Japan, best known as the site of the historic and culturally significant Atsuta Shrine.
-
E.
Aoyama area
The Aoyama area is an upscale Tokyo neighborhood known for its fashionable boutiques, contemporary architecture, and trendy cafes and galleries.
- 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_69aed933bec881909edfa28ebb69c634 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefbaefcb081908aab3963dcd61a20 |
completed | March 9, 2026, 4:56 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b576966bd081909b804a3ccc18c1ee |
completed | March 14, 2026, 2:54 p.m. |
Created at: March 9, 2026, 3:38 p.m.