Triple
T8761198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Asakusa Station |
E208201
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Asakusa district |
E72187
|
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: Asakusa district | Statement: [Asakusa Station, serves, Asakusa district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Asakusa district Context triple: [Asakusa Station, serves, Asakusa district]
-
A.
Koishikawa district
Koishikawa district is a residential and educational neighborhood in Tokyo known for sites like Koishikawa Kōrakuen Garden and the University of Tokyo facilities.
-
B.
Nagatachō district
Nagatachō district is Tokyo’s political center, housing key institutions such as the National Diet Building, the Prime Minister’s Office, and various government ministries.
-
C.
Nihonbashi district
Nihonbashi district is a historic commercial and financial area in central Tokyo known for its traditional merchant roots and role as a major business hub.
-
D.
Tamagawa district
Tamagawa district is a residential neighborhood in Setagaya, Tokyo, known for its riverside location along the Tama River and relatively tranquil urban atmosphere.
-
E.
Asakusa
chosen
Asakusa is a historic district in Tokyo best known for its ancient Sensō-ji Temple, traditional shopping streets, and preserved old-town atmosphere.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5dfa9d6c81908c4c6b3a6f84f67d |
completed | March 31, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1af0f42488190a298eb449828b9ae |
completed | April 5, 2026, 12:38 a.m. |
Created at: March 30, 2026, 6:40 p.m.