Triple
T2463648
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meguro, Tokyo, Japan |
E55190
|
entity |
| Predicate | hasDistrict |
P459
|
FINISHED |
| Object |
Midorigaoka
Midorigaoka is a residential neighborhood located within Tokyo's Meguro ward in Japan.
|
E274476
|
NE FINISHED |
How this triple was built (4 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: Midorigaoka | Statement: [Meguro, Tokyo, Japan, hasDistrict, Midorigaoka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Midorigaoka Context triple: [Meguro, Tokyo, Japan, hasDistrict, Midorigaoka]
-
A.
Kitanomaru Park
Kitanomaru Park is a public park in central Tokyo known for its historic grounds, museums, and tranquil green spaces adjacent to the Tokyo Imperial Palace.
-
B.
Shiba-koen
Shiba-koen is a central Tokyo district known for its large public park, historic temples, and close proximity to Tokyo Tower.
-
C.
Kichijōji
Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
-
D.
Shukugawa Park
Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
-
E.
Ueno
Ueno is a major district in Tokyo known for Ueno Park, its museums, zoo, and busy transportation hub.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Midorigaoka Triple: [Meguro, Tokyo, Japan, hasDistrict, Midorigaoka]
Generated description
Midorigaoka is a residential neighborhood located within Tokyo's Meguro ward in Japan.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Midorigaoka Target entity description: Midorigaoka is a residential neighborhood located within Tokyo's Meguro ward in Japan.
-
A.
Kitanomaru Park
Kitanomaru Park is a public park in central Tokyo known for its historic grounds, museums, and tranquil green spaces adjacent to the Tokyo Imperial Palace.
-
B.
Shiba-koen
Shiba-koen is a central Tokyo district known for its large public park, historic temples, and close proximity to Tokyo Tower.
-
C.
Kichijōji
Kichijōji is a popular Tokyo neighborhood known for its trendy shopping streets, vibrant dining and nightlife, and the expansive Inokashira Park.
-
D.
Shukugawa Park
Shukugawa Park is a scenic riverside park in Nishinomiya, Japan, renowned for its cherry blossom-lined paths and seasonal beauty.
-
E.
Ueno
Ueno is a major district in Tokyo known for Ueno Park, its museums, zoo, and busy transportation hub.
- F. None of above. chosen
Provenance (5 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_69ab49e3622c8190ad22afa2c4fbb807 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd12059788190a6493f64bb725aed |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af2b7af0d4819080fda496670bc5d7 |
completed | March 9, 2026, 8:20 p.m. |
| NEDg | Description generation | batch_69af4e3c7c5c81909b434bf26a130a23 |
completed | March 9, 2026, 10:48 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af4e8f62f88190859f11c3e1623c89 |
completed | March 9, 2026, 10:49 p.m. |
Created at: March 6, 2026, 9:44 p.m.