Triple
T6820133
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ōta, Tokyo |
E156876
|
entity |
| Predicate | romanization |
P2508
|
FINISHED |
| Object |
Ōta-ku
Ōta-ku is a special ward in southern Tokyo, Japan, known for housing Haneda Airport and a mix of residential, industrial, and waterfront areas.
|
E661301
|
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: Ōta-ku | Statement: [Ōta, Tokyo, romanization, Ōta-ku]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ōta-ku Context triple: [Ōta, Tokyo, romanization, Ōta-ku]
-
A.
Nakahara-ku
Nakahara-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known as a residential and commercial area within the Greater Tokyo metropolitan region.
-
B.
Taihaku-ku
Taihaku-ku is a ward in the city of Sendai, Japan, known for its mix of residential areas, natural scenery, and hot spring resorts.
-
C.
Konohana-ku
Konohana-ku is one of the 24 wards of Osaka, Japan, known for hosting major attractions such as Universal Studios Japan and its surrounding entertainment and waterfront areas.
-
D.
Naniwa-ku
Naniwa-ku is a central ward of Osaka, Japan, known for its bustling entertainment districts, shopping streets, and iconic landmarks such as Tsutenkaku Tower.
-
E.
Tama-ku
Tama-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known for its residential areas and proximity to Tokyo.
- 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: Ōta-ku Triple: [Ōta, Tokyo, romanization, Ōta-ku]
Generated description
Ōta-ku is a special ward in southern Tokyo, Japan, known for housing Haneda Airport and a mix of residential, industrial, and waterfront areas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ōta-ku Target entity description: Ōta-ku is a special ward in southern Tokyo, Japan, known for housing Haneda Airport and a mix of residential, industrial, and waterfront areas.
-
A.
Nakahara-ku
Nakahara-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known as a residential and commercial area within the Greater Tokyo metropolitan region.
-
B.
Taihaku-ku
Taihaku-ku is a ward in the city of Sendai, Japan, known for its mix of residential areas, natural scenery, and hot spring resorts.
-
C.
Konohana-ku
Konohana-ku is one of the 24 wards of Osaka, Japan, known for hosting major attractions such as Universal Studios Japan and its surrounding entertainment and waterfront areas.
-
D.
Naniwa-ku
Naniwa-ku is a central ward of Osaka, Japan, known for its bustling entertainment districts, shopping streets, and iconic landmarks such as Tsutenkaku Tower.
-
E.
Tama-ku
Tama-ku is one of the administrative wards of Kawasaki City in Kanagawa Prefecture, Japan, known for its residential areas and proximity to Tokyo.
- 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_69c688298a288190af3f285d57f76bbe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d359176c8190a34664ba2fcf7ee2 |
completed | March 27, 2026, 6:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8109adff8819081426b44ae70bdfb |
completed | March 28, 2026, 5:32 p.m. |
| NEDg | Description generation | batch_69c811a94bd48190b9102aa7d4f1dde8 |
completed | March 28, 2026, 5:36 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8127599188190af3d049a0c6dd349 |
completed | March 28, 2026, 5:40 p.m. |
Created at: March 27, 2026, 2:17 p.m.