Triple
T8618072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitano Tenmangū |
E204090
|
entity |
| Predicate | hasDeity |
P5606
|
FINISHED |
| Object | Tenjin |
E33677
|
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: Tenjin | Statement: [Kitano Tenmangū, hasDeity, Tenjin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tenjin Context triple: [Kitano Tenmangū, hasDeity, Tenjin]
-
A.
Tenjin
chosen
Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
-
B.
Kamiyama
Kamiyama is a Japanese surname borne by various individuals, including artists, athletes, and public figures.
-
C.
Ishkashimi
Ishkashimi is a lesser-known Eastern Iranian language spoken by small communities in parts of Afghanistan and Tajikistan.
-
D.
Oyugis
Oyugis is a town in western Kenya that serves as a key commercial and administrative center in the former Rachuonyo District of Homa Bay County.
-
E.
Yakumo
Yakumo is a residential neighborhood in Tokyo’s Meguro ward known for its quiet streets, schools, and proximity to parks and shopping areas.
- 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_69ca832ceab8819096e4a9f546695079 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc4712e74c81908b607a0ab2f9a361 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2b54de2cc8190b14e3e726b4e9384 |
completed | April 5, 2026, 7:17 p.m. |
Created at: March 30, 2026, 6:26 p.m.