Triple
T3364907
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiyoda |
E70810
|
entity |
| Predicate | borders |
P224
|
FINISHED |
| Object | Chūō |
E305484
|
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: Chūō | Statement: [Chiyoda, borders, Chūō]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chūō Context triple: [Chiyoda, borders, Chūō]
-
A.
Chūō, Tokyo
chosen
Chūō, Tokyo is a central ward of Tokyo known as a major commercial and financial district that includes areas like Nihonbashi and Ginza.
-
B.
Chiba
Chiba is a major city in Japan located east of Tokyo, known as the capital of Chiba Prefecture and a key commercial and residential hub in the Greater Tokyo Area.
-
C.
Kōtō
Kōtō is a special ward in eastern Tokyo, Japan, known for its mix of residential neighborhoods, waterfront areas, and commercial districts.
-
D.
Nagano metropolitan area
The Nagano metropolitan area is an urban region in central Japan centered on the city of Nagano, known for its historical temples, surrounding mountains, and role as a regional economic and transportation hub.
-
E.
Musashino
Musashino is a suburban city in western Tokyo, Japan, known for the popular Kichijoji district and its blend of residential neighborhoods, shopping areas, and parks.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb28643f48190b78b0222f8323344 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4c3667a288190aa79835f5d621942 |
completed | March 14, 2026, 2:09 a.m. |
Created at: March 8, 2026, 3:13 p.m.