Triple
T32764018
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Icicle Tree |
E837836
|
entity |
| Predicate | growsInEcosystem |
P8732
|
FINISHED |
| Object | coastal redwood forest |
—
|
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: coastal redwood forest | Statement: [Icicle Tree, growsInEcosystem, coastal redwood forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: growsInEcosystem Context triple: [Icicle Tree, growsInEcosystem, coastal redwood forest]
-
A.
growsIn
chosen
Indicates that one entity develops, thrives, or increases in size or number within a specified environment, medium, or location.
-
B.
partOfEcosystem
Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
-
C.
growsOn
Indicates that one entity develops or increases in size, number, or extent while being physically supported by or attached to another entity.
-
D.
ecosystemTerm
Indicates that one entity is a term, label, or concept used within the context of an ecosystem or ecological system.
-
E.
ecosystemRelevance
Indicates the degree to which something is important, impactful, or integral to the functioning or health of a particular ecosystem.
- 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_69f34939857c8190aa9970c51feec1eb |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69f6ce6d659881909ddcec1d2966e020 |
completed | May 3, 2026, 4:26 a.m. |
| PD | Predicate disambiguation | batch_69f6cc1667a48190b42684f6ec22dae9 |
completed | May 3, 2026, 4:16 a.m. |
Created at: May 1, 2026, 1:13 a.m.