Triple
T283535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Telecommunication System |
E5838
|
entity |
| Predicate | criticalFor |
P1887
|
FINISHED |
| Object | global numerical weather prediction |
—
|
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 numerical weather prediction | Statement: [Global Telecommunication System, criticalFor, global numerical weather prediction]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: criticalFor Context triple: [Global Telecommunication System, criticalFor, global numerical weather prediction]
-
A.
criticalReception
Indicates how a work, performance, or product is evaluated and responded to by critics or professional reviewers.
-
B.
isImportantFor
chosen
Indicates that something holds significant value, relevance, or necessity in relation to something else.
-
C.
majorIssue
Indicates that something is a primary or most significant problem, concern, or obstacle in a given context.
-
D.
criticizedFor
Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
-
E.
primaryCriterion
Indicates that one factor is designated as the main or most important basis for a decision, judgment, or selection among alternatives.
- 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_69a25946a7ac8190a78871c210213272 |
completed | Feb. 28, 2026, 2:56 a.m. |
| NER | Named-entity recognition | batch_69a25e0d789881908d6a9a8d6a0d4a6c |
completed | Feb. 28, 2026, 3:16 a.m. |
| PD | Predicate disambiguation | batch_69a25b795a6c8190944d48e8418e0ccd |
completed | Feb. 28, 2026, 3:05 a.m. |
Created at: Feb. 28, 2026, 3:02 a.m.