Triple
T20896211
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nankai limited express EMUs |
E514542
|
entity |
| Predicate | serviceNameOperated |
P5884
|
FINISHED |
| Object | Rinkan |
—
|
NE NERFINISHED |
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: Rinkan | Statement: [Nankai limited express EMUs, serviceNameOperated, Rinkan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Rinkan Context triple: [Nankai limited express EMUs, serviceNameOperated, Rinkan]
-
A.
Rinkan
chosen
Rinkan is a limited express train service brand operated on the Nankai Koya Line in Japan.
-
B.
Rinka
Rinka was the Great Dane owned by Norman Scott that became infamous for being shot and killed during the Jeremy Thorpe scandal in 1970s Britain.
-
C.
Urakawa
Urakawa is a coastal town in Hokkaido, Japan, known for its horse breeding industry and scenic Pacific shoreline.
-
D.
Rijō
Rijō is the Japanese feudal-era castle in Hiroshima, historically the seat of the powerful Hiroshima Domain and a notable example of a flatland castle.
-
E.
Tenjin
Tenjin is the Shinto kami of scholarship and learning, widely revered by students seeking academic success.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4f7ebe48190952a85547a0f31a1 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6d06233588190942493b709e30820 |
completed | April 21, 2026, 1:18 a.m. |
Created at: April 16, 2026, 12:47 p.m.