Triple
T829050
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CARE |
E17922
|
entity |
| Predicate | operatesInCountries |
P20059
|
FINISHED |
| Object | over 100 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: over 100 countries | Statement: [CARE, operatesInCountries, over 100 countries]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: operatesInCountries Context triple: [CARE, operatesInCountries, over 100 countries]
-
A.
operatedInRegion
Indicates that an entity conducted operations or activities within a specified geographic region.
-
B.
operatesToContinents
Indicates that an entity conducts or provides operations or services that extend across or are directed toward multiple continents.
-
C.
usedInCountry
Indicates that something is utilized, applied, or in operation within the specified country.
-
D.
displayedInCountry
Indicates that something is shown, exhibited, or made visible within the boundaries of a specified country.
-
E.
hasCountryServed
Indicates that a person or organization has provided service to, or performed duties on behalf of, a specified country.
- F. None of above. chosen
Provenance (4 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_69a4937c9c188190aaa216f6b466f452 |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ab9b458881909aa23f0eb7cbc87f |
completed | March 1, 2026, 9:11 p.m. |
| PD | Predicate disambiguation | batch_69a4aa79a6488190a634388e071ed9b7 |
completed | March 1, 2026, 9:07 p.m. |
| PDg | Predicate description generation | batch_69a4ab4781c88190ae36906251347cdc |
completed | March 1, 2026, 9:10 p.m. |
Created at: March 1, 2026, 7:38 p.m.