Triple
T6573240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Umihotaru |
E155494
|
entity |
| Predicate | hasView |
P854
|
FINISHED |
| Object | Tokyo skyline |
E325048
|
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: Tokyo skyline | Statement: [Umihotaru, hasView, Tokyo skyline]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tokyo skyline Context triple: [Umihotaru, hasView, Tokyo skyline]
-
A.
Tokyo city center
Tokyo city center is the central urban area of Japan’s capital, encompassing major business districts, government institutions, and key commercial and cultural hubs.
-
B.
Tokyo waterfront
chosen
Tokyo waterfront is a redeveloped coastal area of Tokyo known for its modern architecture, entertainment complexes, and scenic views of Tokyo Bay.
-
C.
Yokohama city center
Yokohama city center is the main urban and commercial hub of Yokohama, known for its modern skyline, waterfront districts, and major shopping and business areas.
-
D.
Aoyama, Tokyo
Aoyama, Tokyo is an upscale neighborhood in Minato Ward known for its fashionable boutiques, trendy cafes, art galleries, and modern architecture.
-
E.
Fussa, Tokyo
Fussa, Tokyo is a city in western Tokyo Metropolis known for hosting the Yokota Air Base and having a strong U.S. military presence.
- 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_69c688151254819080387f87deab8fa7 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae6faa3c81908f1777d616cece46 |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d56d204c819098428507da28a9d5 |
completed | March 27, 2026, 7:07 p.m. |
Created at: March 27, 2026, 1:53 p.m.