Triple
T3530383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shinagawa |
E74645
|
entity |
| Predicate | hasMajorArea |
P36071
|
FINISHED |
| Object |
Ebara
Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
|
E364440
|
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: Ebara | Statement: [Shinagawa, hasMajorArea, Ebara]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ebara Context triple: [Shinagawa, hasMajorArea, Ebara]
-
A.
Mibuchi
Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
-
B.
Kawada Industries
Kawada Industries is a Japanese engineering and construction company known for its work on major infrastructure projects, including prominent bridges and civil works.
-
C.
Yoshimura
Yoshimura is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
D.
Yoshimoto Kogyo
Yoshimoto Kogyo is a major Japanese entertainment conglomerate best known for managing comedians and producing comedy shows, theater, television, and other media.
-
E.
Shibaura Futo
Shibaura Futo is a waterfront district and pier area in Tokyo’s Minato Ward, known for its views of Tokyo Bay and proximity to the Rainbow Bridge.
- 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: Ebara Triple: [Shinagawa, hasMajorArea, Ebara]
Generated description
Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ebara Target entity description: Ebara is a district within Tokyo’s Shinagawa ward, known as a primarily residential area with local shopping streets and traditional neighborhoods.
-
A.
Mibuchi
Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
-
B.
Kawada Industries
Kawada Industries is a Japanese engineering and construction company known for its work on major infrastructure projects, including prominent bridges and civil works.
-
C.
Yoshimura
Yoshimura is a Japanese surname borne by various notable individuals across fields such as politics, sports, and the arts.
-
D.
Yoshimoto Kogyo
Yoshimoto Kogyo is a major Japanese entertainment conglomerate best known for managing comedians and producing comedy shows, theater, television, and other media.
-
E.
Shibaura Futo
Shibaura Futo is a waterfront district and pier area in Tokyo’s Minato Ward, known for its views of Tokyo Bay and proximity to the Rainbow Bridge.
- 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_69ad85d1a3948190931fd1ea1f49717b |
completed | March 8, 2026, 2:21 p.m. |
| NER | Named-entity recognition | batch_69adbc9764a881908aa8d25dc9adf59e |
completed | March 8, 2026, 6:14 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b37e97536881908d5ed3dfe602c9e0 |
completed | March 13, 2026, 3:03 a.m. |
| NEDg | Description generation | batch_69b37f232b8881908f7b4df89399d1d8 |
completed | March 13, 2026, 3:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b37f8fea9481909eb82a06e6c71e98 |
completed | March 13, 2026, 3:08 a.m. |
Created at: March 8, 2026, 3:19 p.m.