Triple
T13492358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nijūnisha |
E320666
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Kibune Jinja |
E1043239
|
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: Kibune Jinja | Statement: [Nijūnisha, hasMember, Kibune Jinja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kibune Jinja Context triple: [Nijūnisha, hasMember, Kibune Jinja]
-
A.
Kamo Mioya Jinja
chosen
Kamo Mioya Jinja is a historic Shinto shrine in Kyoto, Japan, revered as one of the important Kamo shrines and a key site in the city's religious and cultural heritage.
-
B.
Gisamjanga
Gisamjanga is a dialect of the Datooga language spoken by a subgroup of the Datooga people in Tanzania.
-
C.
Ombo
Ombo is a large island in Rogaland county, Norway, known for its rural landscapes, agriculture, and coastal scenery.
-
D.
Bukindo
Bukindo is a settlement located within Ukerewe District in Tanzania’s Mwanza Region.
-
E.
Erg Chigaga
Erg Chigaga is a vast, remote dune field in southern Morocco known for its towering sand dunes and desert wilderness landscapes.
- 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_69d807629d6c8190998f1b9bb12d2ed0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbaf4c66008190b287e0551889d7c8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d8c942481909858e340944ed57c |
completed | May 3, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:43 p.m.