Triple
T3014249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naniwa-ku |
E82297
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Tsutenkaku Tower |
E6592
|
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: Tsutenkaku Tower | Statement: [Naniwa-ku, hasLandmark, Tsutenkaku Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tsutenkaku Tower Context triple: [Naniwa-ku, hasLandmark, Tsutenkaku Tower]
-
A.
Tsutenkaku Tower
chosen
Tsutenkaku Tower is a historic observation and entertainment tower in Osaka, Japan, known as a symbol of the city’s Shinsekai district.
-
B.
Kyoto Tower
Kyoto Tower is a prominent modern observation tower and landmark in Kyoto, offering panoramic views of the historic city from its central location.
-
C.
Japanese Tower
The Japanese Tower is an ornate, pagoda-style structure in Brussels that forms part of King Leopold II’s Far East-inspired monuments within the Royal Domain of Laeken.
-
D.
Tokyo Tower
Tokyo Tower is a landmark red-and-white communications and observation tower in central Tokyo, famous for its city views and Eiffel Tower-inspired design.
-
E.
Yokohama Landmark Tower
Yokohama Landmark Tower is a prominent skyscraper in Yokohama, Japan, known for its height, office and hotel facilities, and observation deck offering panoramic city and bay views.
- 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_69ad8b1eb53481908c39bbcd1ec104b2 |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad9a69e8148190a97507740c9d26a8 |
completed | March 8, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b1eee74390819087e48b67ed4a9f27 |
completed | March 11, 2026, 10:38 p.m. |
Created at: March 8, 2026, 3 p.m.