Triple
T18158602
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PKC |
E434696
|
entity |
| Predicate | internationalScope |
P1499
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [PKC, internationalScope, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: internationalScope Context triple: [PKC, internationalScope, true]
-
A.
internationalContribution
Indicates that an entity provides resources, support, or participation that benefits or advances activities beyond its own country at an international level.
-
B.
intercontinental
Indicates a relationship or action that spans or connects multiple continents.
-
C.
internationalConcern
Indicates that an issue, event, or situation is regarded as significant or problematic by multiple countries or the international community as a whole.
-
D.
isInternational
chosen
Indicates that something has a connection to, involves, or extends across more than one country.
-
E.
internationalUsage
Indicates that something is used or applied across multiple countries or in an international context.
- 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_69d8b90b7a188190b3fc7b8d4a6cd20a |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4dec02d9c81909ac6203b7d59c405 |
completed | April 19, 2026, 1:55 p.m. |
| PD | Predicate disambiguation | batch_69e4331baeb88190b21f50a98c36c78e |
completed | April 19, 2026, 1:42 a.m. |
Created at: April 10, 2026, 10:30 a.m.