Triple
T14932261
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kitashinagawa |
E372295
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Shinagawa ward |
E74645
|
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: Shinagawa ward | Statement: [Kitashinagawa, partOf, Shinagawa ward]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Shinagawa ward Context triple: [Kitashinagawa, partOf, Shinagawa ward]
-
A.
Meguro Ward
Meguro Ward is a residential and commercial district in southwest Tokyo known for its urban neighborhoods, cultural sites, and convenient rail access to central Tokyo.
-
B.
Sumida ward
Sumida ward is a special ward in Tokyo, Japan, known for landmarks such as the Tokyo Skytree and its mix of traditional neighborhoods and modern urban development.
-
C.
Shinagawa
chosen
Shinagawa is a major commercial and transportation hub in Tokyo, Japan, known for its busy railway station, business districts, and waterfront developments.
-
D.
Toshima ward
Toshima ward is a special ward in Tokyo, Japan, known for its major commercial and entertainment hub Ikebukuro and its dense urban residential neighborhoods.
-
E.
Nakano Ward
Nakano Ward is a special ward in western Tokyo, Japan, known for its dense residential neighborhoods, shopping streets, and subculture hubs like Nakano Broadway.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded646a0808190ba5c0c91bde011c5 |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a072b64b16c8190ab23bfc8a2ec7b66 |
completed | May 15, 2026, 2:19 p.m. |
Created at: April 10, 2026, 2:37 a.m.