Triple
T23469589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo city center |
E569190
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Taitō City |
E34802
|
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: Taitō City | Statement: [Tokyo city center, contains, Taitō City]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Taitō City Context triple: [Tokyo city center, contains, Taitō City]
-
A.
Tokamachi
Tokamachi is a city in Niigata Prefecture, Japan, known for its heavy snowfall, traditional textile industry, and scenic rural landscapes.
-
B.
Taitō
chosen
Taitō is a special ward in central Tokyo known for its historic districts, traditional temples, and major cultural attractions such as Ueno Park and Asakusa.
-
C.
City of Sakurai
The City of Sakurai is a municipality in Nara Prefecture, Japan, known for its rich historical heritage and numerous ancient temples and shrines.
-
D.
Gotemba City
Gotemba City is a Japanese city in Shizuoka Prefecture near the southeastern base of Mount Fuji, known as a gateway for climbing and tourism around the mountain.
-
E.
Arika
Arika is the central protagonist of the anime series "Dominion," around whom the story’s main events and character dynamics revolve.
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a6feb5688190ad4ce42fc9590adb |
completed | April 29, 2026, 6:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c8256ede08190a95e0074245e9eff |
completed | May 19, 2026, 3:31 p.m. |
Created at: April 17, 2026, 5:54 p.m.