Triple
T4942266
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UN Special Envoy on Climate Change |
E110966
|
entity |
| Predicate | appointmentLevel |
P14125
|
FINISHED |
| Object | high-level |
—
|
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: high-level | Statement: [UN Special Envoy on Climate Change, appointmentLevel, high-level]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: appointmentLevel Context triple: [UN Special Envoy on Climate Change, appointmentLevel, high-level]
-
A.
designationLevel
chosen
Indicates the specific rank, tier, or level assigned to an entity within a designation or classification system.
-
B.
assessmentLevel
Indicates the degree, rating, or intensity assigned to an evaluation or judgment of something.
-
C.
representedLevel
Indicates that one entity denotes or encodes the degree, intensity, or value (i.e., the level) of another entity or property.
-
D.
exportLevel
Indicates the degree or extent to which something is produced in one place and sent out or made available to other places or markets.
-
E.
sponsorLevel
Indicates the degree or tier of sponsorship that one entity provides to another.
- 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_69bd4415eee08190bdce70276e56a5b4 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd70a5f56481908365d0fe16892bf4 |
completed | March 20, 2026, 4:07 p.m. |
| PD | Predicate disambiguation | batch_69bd6c389b9881908ad7fb1c5393c1b1 |
completed | March 20, 2026, 3:48 p.m. |
Created at: March 20, 2026, 1:31 p.m.