Triple
T13480122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kandy Lake |
E318350
|
entity |
| Predicate | artificialIslandUsedFor |
P110552
|
FINISHED |
| Object | royal summer house |
—
|
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: royal summer house | Statement: [Kandy Lake, artificialIslandUsedFor, royal summer house]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: artificialIslandUsedFor Context triple: [Kandy Lake, artificialIslandUsedFor, royal summer house]
-
A.
isArtificialReefFor
Indicates that one entity functions as an artificial reef that provides habitat or structural support for another entity, typically marine life or an ecosystem.
-
B.
airportIsland
Indicates that an airport is located on, or associated with, an island.
-
C.
partOfIsland
Indicates that one entity is a portion or component of an island.
-
D.
islandType
Indicates the specific classification or category of an island based on its characteristics or formation.
-
E.
artificialReefSince
Indicates that an artificial reef has existed or been in place since a specified point in time.
- F. None of above. chosen
Provenance (4 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf36c6b08190ba99400600e0b662 |
completed | April 12, 2026, 2:41 p.m. |
| PD | Predicate disambiguation | batch_69dbadfddefc81909ef7fde23b181b5c |
completed | April 12, 2026, 2:36 p.m. |
| PDg | Predicate description generation | batch_69dbaecc98cc8190829f5be759c4f1e3 |
completed | April 12, 2026, 2:40 p.m. |
Created at: April 9, 2026, 9:42 p.m.