Triple
T3364882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chiyoda |
E70810
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Iidabashi area |
E391980
|
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: Iidabashi area | Statement: [Chiyoda, contains, Iidabashi area]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iidabashi area Context triple: [Chiyoda, contains, Iidabashi area]
-
A.
Iidabashi area
chosen
The Iidabashi area is a central Tokyo district known for its major train hub, office buildings, universities, and proximity to the Kagurazaka neighborhood.
-
B.
Suidobashi area
Suidobashi area is a central Tokyo neighborhood known for its major train station, proximity to Tokyo Dome City and universities, and mix of entertainment, sports, and office facilities.
-
C.
Kōjimachi area
The Kōjimachi area is a central Tokyo district known for its mix of government offices, corporate headquarters, and upscale residential neighborhoods.
-
D.
Shinsekai district
Shinsekai district is an old entertainment neighborhood in Osaka, Japan, known for its retro atmosphere, Tsutenkaku Tower, and vibrant street food and nightlife scene.
-
E.
Ochanomizu area
The Ochanomizu area is a central Tokyo district known for its universities, musical instrument shops, and historic temples clustered around the Kanda River.
- 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_69ad85a729d48190afd789cd8417f289 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb28643f48190b78b0222f8323344 |
completed | March 8, 2026, 5:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b53fccf644819082334b566f23c20a |
completed | March 14, 2026, 11 a.m. |
Created at: March 8, 2026, 3:13 p.m.