Triple
T14437533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Taitō ward |
E358002
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Senzoku
Senzoku is a neighborhood in Tokyo, Japan, known as a residential area with local shops and convenient access to central parts of the city.
|
E1102649
|
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: Senzoku | Statement: [Taitō ward, contains, Senzoku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Senzoku Context triple: [Taitō ward, contains, Senzoku]
-
A.
Sakumono
Sakumono is a coastal suburban community in the Greater Accra Region of Ghana, known for its residential estates and proximity to the Sakumono Lagoon and beach.
-
B.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
C.
Ozutochi
Ozutochi is a studio album by Puerto Rican reggaeton and Latin trap artist Ozuna, showcasing his signature blend of urban and tropical Latin sounds.
-
D.
Shoki
"Shoki" is a popular Nigerian street-hop song by Lil Kesh that helped propel him to mainstream fame and popularized a viral dance of the same name.
-
E.
Kudanshita
Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
- 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: Senzoku Triple: [Taitō ward, contains, Senzoku]
Generated description
Senzoku is a neighborhood in Tokyo, Japan, known as a residential area with local shops and convenient access to central parts of the city.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Senzoku Target entity description: Senzoku is a neighborhood in Tokyo, Japan, known as a residential area with local shops and convenient access to central parts of the city.
-
A.
Sakumono
Sakumono is a coastal suburban community in the Greater Accra Region of Ghana, known for its residential estates and proximity to the Sakumono Lagoon and beach.
-
B.
Kibushi
Kibushi is a Bantu language spoken primarily in Mayotte, where it serves as one of the island’s main regional languages.
-
C.
Ozutochi
Ozutochi is a studio album by Puerto Rican reggaeton and Latin trap artist Ozuna, showcasing his signature blend of urban and tropical Latin sounds.
-
D.
Shoki
"Shoki" is a popular Nigerian street-hop song by Lil Kesh that helped propel him to mainstream fame and popularized a viral dance of the same name.
-
E.
Kudanshita
Kudanshita is a district and major subway station area in central Tokyo known for its proximity to the Imperial Palace, Yasukuni Shrine, and several universities and office buildings.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de914a45ec81909ab8ccf302047d7f |
completed | April 14, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6d84fd888190b05dcf9191bae337 |
completed | May 8, 2026, 4:58 a.m. |
| NEDg | Description generation | batch_69fd6e354c1081909afcc848ee50e5b7 |
completed | May 8, 2026, 5:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd6ee08c848190862c3ad1ef41609b |
completed | May 8, 2026, 5:04 a.m. |
Created at: April 10, 2026, 1:18 a.m.