Triple
T22384837
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lianjiang County |
E553367
|
entity |
| Predicate | hasIslandAreas |
P970
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Lianjiang County, hasIslandAreas, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasIslandAreas Context triple: [Lianjiang County, hasIslandAreas, yes]
-
A.
isIslandArea
Indicates that a given geographic area is classified as an island.
-
B.
hasIslandAreaApprox
Indicates that an island’s area is approximately equal to a specified value or falls within an approximate range.
-
C.
hasIsland
chosen
Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
-
D.
isPartOfInsularArea
Indicates that one entity is included within, or belongs to, a defined insular area (such as a non-contiguous territorial region or island jurisdiction).
-
E.
hasInlandArea
Indicates that an entity possesses a portion of its territory or surface that is located away from coastal or shoreline areas.
- 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_69e11e4cf87c8190a1ff474daec326b7 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1582e58dc8190a2ad6b10c9d1f951 |
completed | April 29, 2026, 1 a.m. |
| PD | Predicate disambiguation | batch_69e73015484c8190a9a0b9f554b61a81 |
completed | April 21, 2026, 8:06 a.m. |
Created at: April 16, 2026, 8:45 p.m.