Triple
T21385865
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aoyama, Tokyo |
E527494
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Aoyama Cemetery |
—
|
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: Aoyama Cemetery | Statement: [Aoyama, Tokyo, hasLandmark, Aoyama Cemetery]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Aoyama Cemetery Context triple: [Aoyama, Tokyo, hasLandmark, Aoyama Cemetery]
-
A.
Zoshigaya Cemetery
Zoshigaya Cemetery is a historic public graveyard in Tokyo known for its tranquil, park-like setting and the graves of many notable Japanese cultural and political figures.
-
B.
Yokohama Foreign General Cemetery
Yokohama Foreign General Cemetery is a historic burial ground in Yokohama where many of the city’s early foreign residents and notable expatriates are interred.
-
C.
Aoyama Cemetery, Tokyo
chosen
Aoyama Cemetery in Tokyo is a historic and prestigious public graveyard known for being the resting place of many prominent Japanese political and cultural figures.
-
D.
豊島岡墓地
豊島岡墓地は、東京都豊島区に位置し、皇族や旧皇族などが埋葬されている日本の皇室墓地の一つです。
-
E.
Somei Cemetery
Somei Cemetery is a historic burial ground in Tokyo’s Toshima ward, known for its tranquil atmosphere and seasonal cherry blossoms.
- 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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f3d37c8190b43ec77cdb1904c8 |
completed | April 22, 2026, 11:28 a.m. |
Created at: April 16, 2026, 5:12 p.m.