Triple
T33695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | World Health Organization |
E671
|
entity |
| Predicate | issuesGuideline |
P1557
|
FINISHED |
| Object | global health guidelines |
—
|
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 health guidelines | Statement: [World Health Organization, issuesGuideline, global health guidelines]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issuesGuideline Context triple: [World Health Organization, issuesGuideline, global health guidelines]
-
A.
issues
chosen
Indicates that an entity formally produces, releases, or distributes something, such as a document, order, or resource, making it officially available.
-
B.
advises
Indicates that one entity provides guidance, recommendations, or counsel to another entity.
-
C.
criticizedFor
Indicates that one entity expresses disapproval or negative judgment of another entity specifically because of a particular action, quality, or outcome.
-
D.
issuedDocument
Indicates that one entity has formally created and provided an official document to another entity.
-
E.
laborRelationsIssue
Indicates a relationship where there is a dispute, concern, or matter involving labor relations between workers (or their representatives) and employers.
- 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_69a2479dec388190967ba648663442c9 |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a2496ffc548190b545f998cbebd5b9 |
completed | Feb. 28, 2026, 1:48 a.m. |
| PD | Predicate disambiguation | batch_69a248717f5081909952a8c9ed1e1742 |
completed | Feb. 28, 2026, 1:44 a.m. |
Created at: Feb. 28, 2026, 1:44 a.m.