Triple
T15618981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tachū Naitō |
E375494
|
entity |
| Predicate | designed |
P184
|
FINISHED |
| Object | Beppu Tower |
E399017
|
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: Beppu Tower | Statement: [Tachū Naitō, designed, Beppu Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beppu Tower Context triple: [Tachū Naitō, designed, Beppu Tower]
-
A.
Beppu Tower
chosen
Beppu Tower is a landmark observation tower in Beppu, Japan, offering panoramic views of the city and its famous hot spring areas.
-
B.
Hateruma Observatory Tower
Hateruma Observatory Tower is a scenic lookout on Japan’s southernmost inhabited island, offering panoramic views of the surrounding sea and landscape.
-
C.
Kabukiza Tower
Kabukiza Tower is a modern high-rise office and commercial building in Tokyo that integrates with the historic Kabuki-za Theatre complex.
-
D.
Beppu Ropeway
Beppu Ropeway is an aerial lift in Beppu, Japan, that carries visitors up Mount Tsurumi for panoramic views of the surrounding hot spring resort area and landscape.
-
E.
Kaikyō Yume Tower
Kaikyō Yume Tower is a prominent observation tower in Shimonoseki, Japan, known for its panoramic views over the Kanmon Straits and the surrounding cityscape.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e997ce481909b2f10d25705fbc6 |
completed | April 16, 2026, 2:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff6ece07608190a705f108c8c2979a |
completed | May 9, 2026, 5:28 p.m. |
Created at: April 10, 2026, 4:13 a.m.