Triple
T21715775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 大宮駅 |
E536024
|
entity |
| Predicate | 別名 |
P39
|
FINISHED |
| Object | 大宮 |
—
|
NE NERFINISHED |
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: 大宮 | Statement: [大宮駅, 別名, 大宮]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 大宮 Context triple: [大宮駅, 別名, 大宮]
-
A.
大宮駅
chosen
大宮駅は、埼玉県さいたま市大宮区に位置する東日本旅客鉄道（JR東日本）や東武鉄道、埼玉新都市交通などが乗り入れる北関東有数のターミナル駅です。
-
B.
高田馬場
高田馬場 is a bustling neighborhood in Tokyo’s Shinjuku ward known for its major train station, student population, and numerous eateries and entertainment spots.
-
C.
神宮前
神宮前 is a district in Shibuya, Tokyo, known for its proximity to Meiji Shrine and the fashionable Harajuku and Omotesando areas.
-
D.
有楽町
有楽町は、東京都千代田区に位置し、オフィス街や商業施設、劇場などが集まる繁華な都心エリアです。
-
E.
大手町
大手町 is a major business district in central Tokyo known for its concentration of corporate headquarters, financial institutions, and proximity to the Imperial Palace.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c46c6dd88190a595375fa6ebd701 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69efb53761b48190954a46e8155a84f0 |
completed | April 27, 2026, 7:12 p.m. |
Created at: April 16, 2026, 6:47 p.m.