Triple
T4410930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saipan Carolinian |
E94850
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Saipan Refaluwasch |
E32739
|
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: Saipan Refaluwasch | Statement: [Saipan Carolinian, hasAlternativeName, Saipan Refaluwasch]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Saipan Refaluwasch Context triple: [Saipan Carolinian, hasAlternativeName, Saipan Refaluwasch]
-
A.
Ushijima
Ushijima is a Japanese surname borne by various notable individuals, including military figures and fictional characters.
-
B.
Ozawa
Ozawa is a Japanese surname borne by various notable individuals in fields such as music, politics, and sports.
-
C.
Saipan
chosen
Saipan is the largest and most populous island of the Northern Mariana Islands, known for its World War II history and Pacific island tourism.
-
D.
Hiroo
Hiroo is an upscale residential and shopping district in central Tokyo known for its international community, embassies, cafes, and boutiques.
-
E.
Yamashita
Yamashita is a Japanese surname most famously associated with General Tomoyuki Yamashita, a prominent Imperial Japanese Army commander during World War II.
- 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_69b34539638c8190abfea3eb29425210 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b354e4c58c8190b4190aad3095a1dd |
completed | March 13, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5f6131de08190968259a0be73cd3f |
completed | March 14, 2026, 11:58 p.m. |
Created at: March 12, 2026, 11:29 p.m.