Triple
T1046196
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Harborland |
E22583
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object | Kobe Port Tower |
E29194
|
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: Kobe Port Tower | Statement: [Harborland, adjacentTo, Kobe Port Tower]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kobe Port Tower Context triple: [Harborland, adjacentTo, Kobe Port Tower]
-
A.
Kobe Port Tower
chosen
Kobe Port Tower is a distinctive red steel observation tower and symbol of Kobe’s waterfront, offering panoramic views of the city and harbor.
-
B.
Yokohama Marine Tower
Yokohama Marine Tower is a prominent coastal observation tower and tourist attraction in Yokohama, Japan, offering panoramic views of the city and its harbor.
-
C.
Osanbashi Pier
Osanbashi Pier is Yokohama’s main international passenger terminal and a distinctive waterfront architectural landmark known for its sweeping wooden decks and panoramic harbor views.
-
D.
Abeno Harukas
Abeno Harukas is a 300-meter-tall skyscraper in Osaka, Japan, known as one of the country's tallest buildings and a major commercial, cultural, and observation complex.
-
E.
Port of Kobe
The Port of Kobe is one of Japan’s major international seaports, serving as a key hub for container shipping and maritime trade in the Kansai region.
- 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_69a493d91478819094cc01fb65564bc1 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b84bb0048190badf6d2f7f684d99 |
completed | March 1, 2026, 10:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac5999d30881909bc9e2d8528b1b56 |
completed | March 7, 2026, 5 p.m. |
Created at: March 1, 2026, 7:42 p.m.