Triple
T15541719
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Temple 46: Jōruriji |
E370494
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Joruriji |
E1164823
|
NE FINISHED |
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: Joruriji | Statement: [Temple 46: Jōruriji, alsoKnownAs, Joruriji]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Joruriji Context triple: [Temple 46: Jōruriji, alsoKnownAs, Joruriji]
-
A.
Jōruriji
chosen
Jōruriji is a historic Buddhist temple in Japan, known as Temple 46 on the Shikoku Pilgrimage.
-
B.
Jūrakuji
Jūrakuji is a Buddhist temple in Japan best known as Temple 7 on the Shikoku 88-temple pilgrimage route.
-
C.
Hizaori
Hizaori is the former name of Asaka, a city located in Saitama Prefecture, Japan.
-
D.
Nishiizu
Nishiizu is a coastal town in Shizuoka Prefecture, Japan, known for its rugged seaside scenery, hot springs, and views of Suruga Bay.
-
E.
Yasakaji
Yasakaji is a Buddhist temple in Japan known as Temple 47 on the Shikoku Pilgrimage.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d85cc521a08190921fb50319dddc34 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04432c3808190bb5b653bf8de30c6 |
completed | April 16, 2026, 2:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff90887ef48190b6148830803669dd |
completed | May 9, 2026, 7:52 p.m. |
Created at: April 10, 2026, 4:07 a.m.