Triple
T37543213
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embassy of China in Venezuela |
E933381
|
entity |
| Predicate | sendingStateContinent |
P188237
|
FINISHED |
| Object | Asia |
—
|
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: Asia | Statement: [Embassy of China in Venezuela, sendingStateContinent, Asia]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sendingStateContinent Context triple: [Embassy of China in Venezuela, sendingStateContinent, Asia]
-
A.
sendingState
Indicates the state that initiates or dispatches something (such as a person, document, or request) to another state or entity.
-
B.
sendingCountry
Indicates the country from which something (such as a person, object, or communication) is sent or dispatched.
-
C.
endingCountry
Indicates the country in which an event, journey, process, or relationship comes to an end.
-
D.
continentOfDestination
Indicates that a specified continent is the destination location associated with an entity’s movement, travel, or targeting.
-
E.
continentStatus
Indicates the status or condition assigned to a continent, such as its current state, classification, or role within a given context.
- 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_69f76ec999288190ae26ec7b6aea7046 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fba5eec0448190a5e6f0c43fdcd0e3 |
completed | May 6, 2026, 8:34 p.m. |
| PD | Predicate disambiguation | batch_69fba34edd548190bfa980e6e16e0a88 |
completed | May 6, 2026, 8:23 p.m. |
| PDg | Predicate description generation | batch_69fba5ee00fc81909be7b947a3f95034 |
completed | May 6, 2026, 8:34 p.m. |
Created at: May 3, 2026, 4:17 p.m.