Triple
T15109479
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seibu Ikebukuro |
E360873
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Ikebukuro district |
E73529
|
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: Ikebukuro district | Statement: [Seibu Ikebukuro, serves, Ikebukuro district]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ikebukuro district Context triple: [Seibu Ikebukuro, serves, Ikebukuro district]
-
A.
Ikebukuro
chosen
Ikebukuro is a major commercial and entertainment district in Tokyo known for its large train station, shopping complexes, and vibrant youth culture.
-
B.
Ueno district
Ueno district is a cultural and historical area in Tokyo known for its major museums, temples, and the expansive Ueno Park.
-
C.
Aoyama district
Aoyama district is an upscale neighborhood in central Tokyo known for its fashionable boutiques, trendy cafes, art galleries, and modern architecture.
-
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.
Itabashi
Itabashi is a special ward in northern Tokyo, Japan, known as a primarily residential area with a mix of traditional neighborhoods and modern urban infrastructure.
- 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_69d85a0491ec8190830960be8fafb994 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0058c04f481909deeac0271d961b6 |
completed | April 15, 2026, 9:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a502c82881908d5b6f7c23e8a403 |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 3:05 a.m.