Triple
T19893885
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Living Planet Index |
E478099
|
entity |
| Predicate | indicatorFor |
P19514
|
FINISHED |
| Object | global biodiversity change |
—
|
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: global biodiversity change | Statement: [Living Planet Index, indicatorFor, global biodiversity change]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: indicatorFor Context triple: [Living Planet Index, indicatorFor, global biodiversity change]
-
A.
indicatorType
Indicates the specific kind or category of indicator associated with an entity or relationship.
-
B.
indicatorExample
Indicates that one entity serves as an example or instance illustrating the characteristics, behavior, or usage of another entity.
-
C.
usesIndicator
chosen
Indicates that one entity employs or relies on another entity as an indicator, signal, or metric for assessment, decision-making, or interpretation.
-
D.
indicatorDescription
Indicates that one entity serves as a descriptive label, explanation, or clarification for another entity.
-
E.
indicatedFor
Indicates...that one entity (typically a treatment, procedure, or product) is recommended or appropriate for use in relation to another entity (such as a condition, symptom, or patient group).
- 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_69d8e51f32b08190b3687f4f60353250 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659105d7481909131d9907ac0094b |
completed | April 20, 2026, 4:49 p.m. |
| PD | Predicate disambiguation | batch_69e537ecda248190895c96afb6243823 |
completed | April 19, 2026, 8:15 p.m. |
Created at: April 10, 2026, 1:52 p.m.