Triple
T7763873
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Meseta Central matorral |
E176094
|
entity |
| Predicate | primaryProductivity |
P78558
|
FINISHED |
| Object | low to moderate |
—
|
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: low to moderate | Statement: [Meseta Central matorral, primaryProductivity, low to moderate]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryProductivity Context triple: [Meseta Central matorral, primaryProductivity, low to moderate]
-
A.
primaryEcosystem
Indicates the main type of ecosystem in which an entity predominantly exists or operates.
-
B.
primaryProducer
Indicates that an entity produces a good, service, or resource as the initial source in a supply, economic, or ecological chain.
-
C.
primaryProduct
Indicates that one entity is the main or most important product associated with, produced by, or offered by another entity.
-
D.
primaryMetabolite
Indicates that one entity is a primary metabolite, i.e., a small molecule directly involved in essential cellular metabolic processes.
-
E.
primaryOutput
Indicates that the related entity is the main or principal result, product, or outcome produced by another entity or process.
- F. None of above. chosen
Provenance (4 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_69c69962923c8190ac74d28b4f9fe0a0 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c705257ca08190a78c592a1e616da8 |
completed | March 27, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69c7016df2b08190b2330a2010691431 |
completed | March 27, 2026, 10:15 p.m. |
| PDg | Predicate description generation | batch_69c70524c3948190a163dc5f4ecdffa7 |
completed | March 27, 2026, 10:31 p.m. |
Created at: March 27, 2026, 4:09 p.m.