Triple
T19346176
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zentsū-ji Temple |
E483883
|
entity |
| Predicate | honoraryName |
P54566
|
FINISHED |
| Object |
Konzōzan
Konzōzan is the honorary mountain name (sangō) traditionally associated with Zentsū-ji, a prominent Shingon Buddhist temple in Kagawa Prefecture, Japan.
|
E1402284
|
NE FINISHED |
How this triple was built (4 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: Konzōzan | Statement: [Zentsū-ji Temple, honoraryName, Konzōzan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Konzōzan Context triple: [Zentsū-ji Temple, honoraryName, Konzōzan]
-
A.
Gokenzan
Gokenzan is the mountain in Kagawa Prefecture on which Temple 84, Yashimaji, of the Shikoku Pilgrimage is located.
-
B.
Shinshōzan
Shinshōzan is the traditional honorific mountain name associated with Jūrakuji, the seventh temple on Japan’s Shikoku Pilgrimage.
-
C.
Kozan
Kozan is a town in Turkey’s Adana Province known for its proximity to the ancient city and archaeological site of Anazarbus.
-
D.
Kita-dake Sansō
Kita-dake Sansō is a popular mountain hut in Japan’s Southern Alps that serves as a key base and lodging point for climbers ascending Mount Kita.
-
E.
Haguro
Haguro was a Myōkō-class heavy cruiser of the Imperial Japanese Navy that saw extensive action in the Pacific during World War II before being sunk in 1945.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Konzōzan Triple: [Zentsū-ji Temple, honoraryName, Konzōzan]
Generated description
Konzōzan is the honorary mountain name (sangō) traditionally associated with Zentsū-ji, a prominent Shingon Buddhist temple in Kagawa Prefecture, Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Konzōzan Target entity description: Konzōzan is the honorary mountain name (sangō) traditionally associated with Zentsū-ji, a prominent Shingon Buddhist temple in Kagawa Prefecture, Japan.
-
A.
Gokenzan
Gokenzan is the mountain in Kagawa Prefecture on which Temple 84, Yashimaji, of the Shikoku Pilgrimage is located.
-
B.
Shinshōzan
Shinshōzan is the traditional honorific mountain name associated with Jūrakuji, the seventh temple on Japan’s Shikoku Pilgrimage.
-
C.
Kozan
Kozan is a town in Turkey’s Adana Province known for its proximity to the ancient city and archaeological site of Anazarbus.
-
D.
Kita-dake Sansō
Kita-dake Sansō is a popular mountain hut in Japan’s Southern Alps that serves as a key base and lodging point for climbers ascending Mount Kita.
-
E.
Haguro
Haguro was a Myōkō-class heavy cruiser of the Imperial Japanese Navy that saw extensive action in the Pacific during World War II before being sunk in 1945.
- F. None of above. chosen
Provenance (5 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. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07f6cc6d64819098f294161c69fee2 |
completed | May 16, 2026, 4:47 a.m. |
| NEDg | Description generation | batch_6a07f77d1a688190b6156572366efb39 |
completed | May 16, 2026, 4:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07f8245a2c8190837696206ec8df95 |
completed | May 16, 2026, 4:52 a.m. |
Created at: April 10, 2026, 1:34 p.m.