Triple
T34688755
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xiaoqiu Island |
E890823
|
entity |
| Predicate | closestMajorIsland |
P3347
|
FINISHED |
| Object | main island of Kinmen |
—
|
LITERAL 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: main island of Kinmen | Statement: [Xiaoqiu Island, closestMajorIsland, main island of Kinmen]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: closestMajorIsland Context triple: [Xiaoqiu Island, closestMajorIsland, main island of Kinmen]
-
A.
closestIsland
Indicates that one island is the nearest island to another island, compared to all other islands in consideration.
-
B.
nearestIslandCity
Indicates that one city is the closest city located on an island relative to a given reference location or city.
-
C.
nearestTownOutsideIsland
Indicates the relationship where a town is identified as the closest town that is not located on the specified island.
-
D.
nearestMainlandPoint
Indicates the relationship where a location is associated with the closest point on the mainland to that location.
-
E.
nearestLargeIsland
chosen
Indicates that one entity is the closest geographically among all islands considered "large" relative to another reference entity.
- F. None of above.
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_69f349db7ab8819086808e833f472871 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fbaebc8f2c8190b94f1b4a3ec92e8c |
completed | May 6, 2026, 9:12 p.m. |
| PD | Predicate disambiguation | batch_69fbadf1e6008190a71bbd196ba06844 |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 1, 2026, 2:05 a.m.