Triple
T1163096
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tsuga |
E24536
|
entity |
| Predicate | associatedEcosystem |
P19967
|
FINISHED |
| Object | temperate coniferous 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: temperate coniferous forest | Statement: [Tsuga, associatedEcosystem, temperate coniferous forest]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedEcosystem Context triple: [Tsuga, associatedEcosystem, temperate coniferous forest]
-
A.
partOfEcosystem
chosen
Indicates that an entity functions as a component within a larger ecological system, contributing to and affected by its interactions and processes.
-
B.
containsEcosystem
Indicates that one entity encompasses or includes an ecosystem within its boundaries or scope.
-
C.
associatedCommunity
Indicates a relationship where an entity is linked or connected to a particular community with which it is involved or identified.
-
D.
hasEcosystemService
Indicates that one entity provides, supports, or is associated with an ecosystem service that benefits another entity or the environment.
-
E.
associatedCamp
Indicates a relationship where an entity is linked or connected to a particular camp, typically as its relevant or affiliated camp.
- 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_69a494060e148190abb42f971242c197 |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bcb2bb84819088bd94e91c10fb0c |
completed | March 1, 2026, 10:24 p.m. |
| PD | Predicate disambiguation | batch_69a4bb525b648190adcb7a29256d3c41 |
completed | March 1, 2026, 10:18 p.m. |
Created at: March 1, 2026, 7:45 p.m.