Triple
T13492338
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nijūnisha |
E320666
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | Oharano Jinja |
E1043240
|
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: Oharano Jinja | Statement: [Nijūnisha, hasMember, Oharano Jinja]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Oharano Jinja Context triple: [Nijūnisha, hasMember, Oharano Jinja]
-
A.
Ōharano Jinja
chosen
Ōharano Jinja is a historic Shinto shrine in Kyoto, Japan, revered for its ancient imperial patronage and scenic forested setting.
-
B.
Kamo Mioya Jinja
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.
-
C.
Nakasero
Nakasero is a central and upscale neighborhood in Kampala, Uganda, known for its government offices, embassies, hotels, and commercial centers.
-
D.
Erg Chigaga
Erg Chigaga is a vast, remote dune field in southern Morocco known for its towering sand dunes and desert wilderness landscapes.
-
E.
Kamukunji
Kamukunji is a densely populated, historically significant urban constituency and neighborhood in Nairobi known for its vibrant markets and political activism.
- 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_69f75483a6f88190b3815fb8d97e65e4 |
completed | May 3, 2026, 1:58 p.m. |
Created at: April 9, 2026, 9:43 p.m.