Triple
T1229076
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Global Drug Facility |
E26394
|
entity |
| Predicate | servesCountries |
P18238
|
FINISHED |
| Object | low-income countries |
—
|
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-income countries | Statement: [Global Drug Facility, servesCountries, low-income countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: servesCountries Context triple: [Global Drug Facility, servesCountries, low-income countries]
-
A.
hasCountryServed
chosen
Indicates that a person or organization has provided service to, or performed duties on behalf of, a specified country.
-
B.
soldInCountry
Indicates that a product or item is offered for sale or has been sold within a specified country.
-
C.
usedInCountries
Indicates that something is utilized or applied within one or more specified countries.
-
D.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
-
E.
supportsCountry
Indicates that one entity provides assistance, endorsement, or backing to a specific country.
- 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be3dac2c8190914ff27173bb6b34 |
completed | March 1, 2026, 10:31 p.m. |
| PD | Predicate disambiguation | batch_69a4bb65d61c8190bf0424ea0019a98b |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:47 p.m.