Triple
T154483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Secretariat of the World Health Organization |
E3147
|
entity |
| Predicate | followsGuidanceOf |
P4418
|
FINISHED |
| Object | World Health Assembly resolutions |
—
|
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: World Health Assembly resolutions | Statement: [Secretariat of the World Health Organization, followsGuidanceOf, World Health Assembly resolutions]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: followsGuidanceOf Context triple: [Secretariat of the World Health Organization, followsGuidanceOf, World Health Assembly resolutions]
-
A.
followsRouteOf
Indicates that one entity travels along the same path or route that another entity takes or has taken.
-
B.
follows
Indicates that one entity comes after, moves behind, or acts in accordance with another entity in time, space, or sequence.
-
C.
implementsRecommendationOf
chosen
Indicates that one entity carries out or puts into practice a recommendation that was proposed or issued by another entity.
-
D.
obeysLaw
Indicates that an entity follows, complies with, or acts in accordance with a specified law or set of laws.
-
E.
usesPrinciple
Indicates that one entity applies, relies on, or is based upon a particular principle in its functioning, reasoning, or design.
- 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_69a2527757ec819090b8becb2cf1a862 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a258e0b11c8190b7b5cf3c354c47ce |
completed | Feb. 28, 2026, 2:54 a.m. |
| PD | Predicate disambiguation | batch_69a2565c727c8190bca9ba6ca52f216a |
completed | Feb. 28, 2026, 2:43 a.m. |
Created at: Feb. 28, 2026, 2:31 a.m.