Triple
T15498624
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sensō-ji |
E378889
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Hōzōmon |
—
|
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: Hōzōmon | Statement: [Sensō-ji, hasPart, Hōzōmon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hōzōmon Context triple: [Sensō-ji, hasPart, Hōzōmon]
-
A.
Hōzōmon
chosen
Hōzōmon is the grand inner gate of Sensō-ji Temple in Tokyo’s Asakusa district, known for its massive lanterns and guardian statues.
-
B.
Jōtōmon-in
Jōtōmon-in was the honorary title of Empress Shōshi, a prominent consort of Emperor Ichijō and influential figure in the Heian-period Japanese imperial court.
-
C.
Daigokuden Hall
Daigokuden Hall is the main audience hall of the ancient Heijō Palace in Nara, historically used for important state ceremonies and imperial functions during the Nara period of Japan.
-
D.
Nigatsu-dō
Nigatsu-dō is a prominent sub-temple hall within the Tōdai-ji complex in Nara, Japan, renowned for its annual Shuni-e (Omizutori) Buddhist repentance ceremony.
-
E.
Kōtoku-in
Kōtoku-in is a Buddhist temple in Kamakura, Japan, best known for its monumental outdoor bronze statue of the Great Buddha (Daibutsu).
- 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_69d85cd53a7c819080f5b9042c4c199e |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e03fb0aee081909db1c54349ec8492 |
completed | April 16, 2026, 1:47 a.m. |
Created at: April 10, 2026, 3:53 a.m.