Triple
T10062596
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sumida Park |
E213023
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object | Sumida, Tokyo |
E34202
|
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: Sumida, Tokyo | Statement: [Sumida Park, locatedIn, Sumida, Tokyo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sumida, Tokyo Context triple: [Sumida Park, locatedIn, Sumida, Tokyo]
-
A.
Sumida, Tokyo, Japan
Sumida is a special ward in eastern Tokyo, Japan, known for its traditional shitamachi neighborhoods and as the home of major landmarks like the Tokyo Skytree.
-
B.
Sumida
chosen
Sumida is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its traditional shitamachi neighborhoods.
-
C.
Sumida River area
The Sumida River area is a scenic urban district in Tokyo known for its riverside promenades, bridges, and views of landmarks like Tokyo Skytree.
-
D.
Yanaka
Yanaka is a traditional, temple-filled neighborhood in Tokyo known for its preserved old-town atmosphere, narrow lanes, and historic cemetery.
-
E.
Kitashinagawa
Kitashinagawa is a neighborhood in Tokyo’s Shinagawa ward known for its traditional shopping streets, historic temples, and proximity to Shinagawa Station.
- 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_69ca83977128819084084eb7d1d8c52a |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cdcfd3c6bc8190a21ed3566f9c08d1 |
completed | April 2, 2026, 2:09 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d6a7bbfdb0819080377d3402bcfec3 |
completed | April 8, 2026, 7:08 p.m. |
Created at: March 30, 2026, 8:58 p.m.