Triple
T17734217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sakishima Island |
E442670
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Nanko |
—
|
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: Nanko | Statement: [Sakishima Island, alsoKnownAs, Nanko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nanko Context triple: [Sakishima Island, alsoKnownAs, Nanko]
-
A.
Mibuchi
Mibuchi is a Japanese surname borne by individuals such as Tadahiko Mibuchi.
-
B.
Nanko-kita
chosen
Nanko-kita is a district within Osaka’s artificial Sakishima Island area, known for its waterfront urban development and commercial facilities.
-
C.
Daiukku
Daiukku is an alternative name for Deioces, the legendary founder and first king of the Median Empire in ancient Iran.
-
D.
Tokoname
Tokoname is a coastal city in Aichi Prefecture, Japan, historically renowned as one of the country’s Six Ancient Kilns for its distinctive ceramic and pottery production.
-
E.
Koyo
Koyo is a well-known Japanese brand of bearings and automotive components owned by JTEKT Corporation.
- 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_69d8b9ed3a2081909b2ec0d4dd2f4c37 |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e98a00819089490be2aa36873d |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 10:08 a.m.