Triple
T24586362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gili Labak |
E608403
|
entity |
| Predicate | marineCondition |
P13023
|
FINISHED |
| Object | generally calm waters |
—
|
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: generally calm waters | Statement: [Gili Labak, marineCondition, generally calm waters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: marineCondition Context triple: [Gili Labak, marineCondition, generally calm waters]
-
A.
seaConditionAdaptation
Indicates how well an entity adjusts or responds to varying or challenging sea or ocean conditions.
-
B.
marine
Indicates that an entity is related to, associated with, or located in the sea or ocean environment.
-
C.
hasSeaCondition
chosen
Indicates that an entity is associated with or characterized by a particular state or condition of the sea.
-
D.
marineArea
Indicates a relationship where an entity is located in, associated with, or relevant to a specific marine or oceanic area.
-
E.
marineResources
Indicates a relationship where one entity possesses, provides, or is associated with marine-based resources (such as fish, minerals, or other ocean-derived materials) used or managed by another 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_69e2c4ce89248190ad99e18f0638dfbb |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a986dd6481909a2445b697962e09 |
completed | April 30, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69f2a6c1f07081908edf0b521767e79b |
completed | April 30, 2026, 12:48 a.m. |
Created at: April 18, 2026, 2:29 a.m.