Triple
T14930808
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple 47: Yasakaji |
E372257
|
entity |
| Predicate | hasRomanizedName |
P2508
|
FINISHED |
| Object |
Yasakaji
Yasakaji is a Buddhist temple in Japan known as Temple 47 on the Shikoku Pilgrimage.
|
E1148059
|
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: Yasakaji | Statement: [Temple 47: Yasakaji, hasRomanizedName, Yasakaji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yasakaji Context triple: [Temple 47: Yasakaji, hasRomanizedName, Yasakaji]
-
A.
Akizuki
Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
-
B.
Yotsugi
Yotsugi is a residential neighborhood in Tokyo, Japan, located within Katsushika Ward and known for its local shopping streets and traditional shitamachi atmosphere.
-
C.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
-
D.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
-
E.
Jashugan
Jashugan is a legendary and fearsome Motorball champion in the manga series "Gunnm" (also known as "Battle Angel Alita"), renowned for his unmatched combat prowess and imposing presence.
- 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: Yasakaji Triple: [Temple 47: Yasakaji, hasRomanizedName, Yasakaji]
Generated description
Yasakaji is a Buddhist temple in Japan known as Temple 47 on the Shikoku Pilgrimage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Yasakaji Target entity description: Yasakaji is a Buddhist temple in Japan known as Temple 47 on the Shikoku Pilgrimage.
-
A.
Akizuki
Akizuki was a Japanese Akizuki-class destroyer of the Imperial Japanese Navy that served in World War II before being sunk in the Battle off Cape Engaño in 1944.
-
B.
Yotsugi
Yotsugi is a residential neighborhood in Tokyo, Japan, located within Katsushika Ward and known for its local shopping streets and traditional shitamachi atmosphere.
-
C.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
-
D.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
-
E.
Jashugan
Jashugan is a legendary and fearsome Motorball champion in the manga series "Gunnm" (also known as "Battle Angel Alita"), renowned for his unmatched combat prowess and imposing presence.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64550dc8190ba44120df00ba498 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef603b788190ad747d73af2363d4 |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef0f34c84819089e59789eeb12074 |
completed | May 9, 2026, 8:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef23174a88190bdbe89a7ded4c782 |
completed | May 9, 2026, 8:37 a.m. |
Created at: April 10, 2026, 2:36 a.m.