Triple
T15248085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 品川区 |
E364438
|
entity |
| Predicate | hasBird |
P29974
|
FINISHED |
| Object | ユリカモメ |
E1090685
|
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: ユリカモメ | Statement: [品川区, hasBird, ユリカモメ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ユリカモメ Context triple: [品川区, hasBird, ユリカモメ]
-
A.
ユリカモメ
chosen
ユリカモメ（百合鴎）は、日本各地の海岸や河口などで見られる中型のカモメ類の一種で、冬鳥として都市部の水辺にもよく飛来する鳥である。
-
B.
Sakura
Sakura is a Japanese high-speed Shinkansen train service that operates mainly on the Sanyo and Kyushu Shinkansen lines.
-
C.
Yamazakura
Yamazakura is a traditional Japanese mountain cherry tree variety celebrated for its delicate blossoms and naturalized presence on slopes such as Mount Yoshino.
-
D.
Sōsa
Sōsa is a coastal city in Chiba Prefecture, Japan, known for its proximity to the long sandy stretch of Kujūkuri Beach along the Pacific Ocean.
-
E.
Tsubame
Tsubame is a Japanese Shinkansen train service that operates on the Kyushu Shinkansen line in southern Japan.
- 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_69d85a0dde7481908fc64d1e82d5d20d |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e007f4f9d48190b96a7e0c6993cd69 |
completed | April 15, 2026, 9:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd491cd881908bad9660af9b6b8f |
completed | May 9, 2026, 7:07 a.m. |
Created at: April 10, 2026, 3:13 a.m.