Triple
T18369217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelp Forest |
E440134
|
entity |
| Predicate | hasStructuralComponent |
P87889
|
FINISHED |
| Object | holdfasts |
—
|
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: holdfasts | Statement: [Kelp Forest, hasStructuralComponent, holdfasts]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasStructuralComponent Context triple: [Kelp Forest, hasStructuralComponent, holdfasts]
-
A.
hasHumanStructure
Indicates that one entity possesses or exhibits a structural form or organization characteristic of humans.
-
B.
hasBuildingComponent
Indicates that one entity includes, contains, or is composed of another entity as a physical building component.
-
C.
isEngineeringStructureOf
Indicates that one entity serves as an engineering structure that is functionally or structurally associated with, or part of, another entity.
-
D.
structurePartOf
chosen
Indicates that one structure is a constituent or component of a larger, encompassing structure.
-
E.
partlyConsistsOf
Indicates that one entity is composed in part, but not entirely, of 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_69d8b918221c8190a9f7b563d64ac677 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e51750d3dc8190b153046c1171ee2b |
completed | April 19, 2026, 5:56 p.m. |
| PD | Predicate disambiguation | batch_69e44fed3fdc81908f4ed6a81db42416 |
completed | April 19, 2026, 3:45 a.m. |
Created at: April 10, 2026, 10:38 a.m.