Triple
T19346185
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zentsū-ji Temple |
E483883
|
entity |
| Predicate | hasSubcomplex |
P25619
|
FINISHED |
| Object | Tō-in |
—
|
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: Tō-in | Statement: [Zentsū-ji Temple, hasSubcomplex, Tō-in]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tō-in Context triple: [Zentsū-ji Temple, hasSubcomplex, Tō-in]
-
A.
Tō-in
chosen
Tō-in is a subcomplex of the historic Zentsūji Temple on the Shikoku Pilgrimage, known for its religious structures and role in the temple’s broader sacred precinct.
-
B.
Takayoshi
Takayoshi is a Japanese given name notably borne by Kido Takayoshi, a key samurai and statesman of the Meiji Restoration.
-
C.
Shinshiro
Shinshiro is a city in eastern Aichi Prefecture, Japan, known for its mountainous scenery, historic battle sites, and traditional rural landscapes.
-
D.
Tokuji
Tokuji is a Japanese masculine given name that has been borne by various notable individuals in fields such as business, politics, and the arts.
-
E.
Hokuzan
Hokuzan was a medieval kingdom in northern Okinawa that existed before the unification of the Ryukyu Islands under the Ryukyu Kingdom.
- 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_69d8e8d244f8819080eb1f3491300db2 |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e6185b7d348190ba195056bb32c765 |
completed | April 20, 2026, 12:13 p.m. |
Created at: April 10, 2026, 1:34 p.m.