Triple
T5519570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laeken |
E144770
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Japanese Tower |
E239825
|
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: Japanese Tower | Statement: [Laeken, contains, Japanese Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Japanese Tower Context triple: [Laeken, contains, Japanese Tower]
-
A.
Japanese Tower
chosen
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.
-
B.
Tsutenkaku Tower
Tsutenkaku Tower is a historic observation and entertainment tower in Osaka, Japan, known as a symbol of the city’s Shinsekai district.
-
C.
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.
-
D.
Nagoya TV Tower
Nagoya TV Tower is a historic steel observation and broadcasting tower in central Nagoya, Japan, known as a prominent city landmark and tourist attraction.
-
E.
Sapporo TV Tower
Sapporo TV Tower is a prominent observation and broadcasting tower in central Sapporo, Japan, known for its panoramic city views and illuminated night skyline.
- 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_69c008f77ff88190b0cd50ca207295d1 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c01f6eb604819092e9b2207dc741a9 |
completed | March 22, 2026, 4:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c027e57ed88190b2ff3245226851d1 |
completed | March 22, 2026, 5:33 p.m. |
Created at: March 22, 2026, 3:33 p.m.