Triple
T2445045
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harajuku |
E53370
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Aoyama |
E190766
|
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: Aoyama | Statement: [Harajuku, adjacentTo, Aoyama]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aoyama Context triple: [Harajuku, adjacentTo, Aoyama]
-
A.
Aoyama
chosen
Aoyama is an upscale district in Tokyo known for its high-end fashion boutiques, modern architecture, and trendy cafes and galleries.
-
B.
Arakawa
Arakawa is a special ward in Tokyo, Japan, known for its mix of traditional residential neighborhoods and industrial areas along the Arakawa River.
-
C.
Fukuchiyama
Fukuchiyama is a regional city in northern Kyoto Prefecture, Japan, known as a historical castle town and commercial hub for the surrounding rural area.
-
D.
Fujiyoshida
Fujiyoshida is a Japanese city in Yamanashi Prefecture, best known as a gateway to Mount Fuji and a popular base for climbers and tourists visiting the iconic volcano.
-
E.
Fujiidera
Fujiidera is a city in Osaka Prefecture, Japan, known for its historical temples and role as a residential and commercial suburb in the Kansai region.
- 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_69ab495b6dac8190ac82661aa1452222 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abca23ebe8819099a579a07c1bb708 |
completed | March 7, 2026, 6:48 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3bb56c2e081909168c0fef26bff44 |
completed | March 13, 2026, 7:23 a.m. |
Created at: March 6, 2026, 9:43 p.m.