Triple
T12846251
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokunoshima |
E307182
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Amagi |
E830553
|
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: Amagi | Statement: [Tokunoshima, hasMunicipality, Amagi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amagi Context triple: [Tokunoshima, hasMunicipality, Amagi]
-
A.
Amagi
Amagi was an Imperial Japanese Navy aircraft carrier planned as part of Japan’s early carrier force before being cancelled due to damage from the 1923 Great Kantō earthquake.
-
B.
Amagi
chosen
Amagi is a town located on Tokunoshima Island in Kagoshima Prefecture, Japan.
-
C.
Katsuragi
Katsuragi is a city in Japan known for its location in Nara Prefecture and its historical and cultural ties to the ancient Yamato region.
-
D.
Katsuragi
Katsuragi was a late-war Imperial Japanese Navy aircraft carrier that served in the Pacific Theater during World War II.
-
E.
Matsukaze
Matsukaze is a classic Noh play, traditionally attributed to Zeami, that poignantly depicts the lingering spirits of two salt-making sisters yearning for their lost lover.
- 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_69d7bdf5e7cc8190be357278bc5ba3bb |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96ff49efc8190bd6bbac510cc4705 |
completed | April 10, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f69ba1ef2481909bcf68a698afd3c6 |
completed | May 3, 2026, 12:49 a.m. |
Created at: April 9, 2026, 5:36 p.m.