Triple
T9629685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ueno Station |
E232565
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Ueno district |
E828955
|
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: Ueno district | Statement: [Ueno Station, serves, Ueno district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ueno district Context triple: [Ueno Station, serves, Ueno district]
-
A.
Ueno district
chosen
Ueno district is a cultural and historical area in Tokyo known for its major museums, temples, and the expansive Ueno Park.
-
B.
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.
-
C.
Asakusa district
Asakusa district is a historic neighborhood in Tokyo best known for its ancient Sensō-ji Temple, traditional shopping streets, and preserved old-town atmosphere.
-
D.
Hibiya district
Hibiya district is a central Tokyo area known for its business centers, government buildings, and the historic Hibiya Park near the Imperial Palace.
-
E.
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.
- 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_69ca848793ec8190a93a12383a754dc0 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9b01863c8190a9ec4684804f96bc |
completed | April 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d90d3dfbac819087d07c35a1776064 |
completed | April 10, 2026, 2:46 p.m. |
Created at: March 30, 2026, 8:10 p.m.