Triple
T34917506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Amami cultural area |
E1007044
|
entity |
| Predicate | hasCoreIslands |
P205609
|
FINISHED |
| Object | Amami Ōshima |
E192624
|
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: Amami Ōshima | Statement: [Amami cultural area, hasCoreIslands, Amami Ōshima]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCoreIslands Context triple: [Amami cultural area, hasCoreIslands, Amami Ōshima]
-
A.
hasCoreMemoryIslands
Indicates that an entity possesses distinct, central memory regions or modules referred to as "core memory islands."
-
B.
hasNumberOfInhabitedIslands
Indicates the relationship that specifies how many islands within a given area or jurisdiction are inhabited.
-
C.
hasIslandArc
Indicates that one geographic or geological entity possesses or is associated with an island arc feature.
-
D.
hasUninhabitedIslands
Indicates that an entity possesses or includes one or more islands that have no permanent human inhabitants.
-
E.
hasNumberOfMajorIslands
Indicates the quantitative relationship specifying how many major islands are associated with a given entity.
- F. None of above. chosen
Provenance (5 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_69f76dc2b6b0819095a61debbd405269 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a396de8189081908c1df6654fdca1a3 |
completed | June 22, 2026, 5:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4 p.m.