Triple
T8727345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kita-Senju |
E207162
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Adachi ward |
E691961
|
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: Adachi ward | Statement: [Kita-Senju, partOf, Adachi ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Adachi ward Context triple: [Kita-Senju, partOf, Adachi ward]
-
A.
Adachi Ward
chosen
Adachi Ward is a special ward in northern Tokyo, Japan, known for its residential neighborhoods, riverside areas, and role as a commuter hub within the Tokyo metropolitan area.
-
B.
Suminoe Ward
Suminoe Ward is one of Osaka City's 24 wards, known for its coastal location, residential districts, and industrial and port-related facilities.
-
C.
Aoi Ward
Aoi Ward is a central administrative district of Shizuoka City in Japan, known for encompassing the city’s downtown and governmental areas.
-
D.
Naniwa Ward
Naniwa Ward is a central district of Osaka, Japan, known for its bustling commercial areas, entertainment districts, and historical sites.
-
E.
Taisho Ward
Taisho Ward is one of Osaka City's 24 wards, known as a coastal industrial and residential area with strong ties to the port and a notable Okinawan community.
- 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_69ca835811d8819081ea00fd2a2c9a1c |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5d16cba881908e2a14b60ae65524 |
completed | March 31, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d181fc06c48190b6a7444d975b1e09 |
completed | April 4, 2026, 9:26 p.m. |
Created at: March 30, 2026, 6:37 p.m.