Triple
T32522129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Embassy of Belgium in Mexico City |
E831207
|
entity |
| Predicate | representsCitizensOf |
P197602
|
FINISHED |
| Object | Belgium |
—
|
NE NERFINISHED |
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: Belgium | Statement: [Embassy of Belgium in Mexico City, representsCitizensOf, Belgium]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: representsCitizensOf Context triple: [Embassy of Belgium in Mexico City, representsCitizensOf, Belgium]
-
A.
denotesCitizensOf
Indicates that a subject entity specifies or lists the people or groups who hold citizenship of a particular place or political entity.
-
B.
isCitizenOf
Indicates that a person holds legal nationality or citizenship status in a particular country or state.
-
C.
definedCitizenship
Indicates that a formal citizenship status has been legally established or specified for an entity.
-
D.
areRepresentedBy
Indicates that one entity serves as a representation, proxy, or stand-in for another entity.
-
E.
representsToCitizens
Indicates that an entity serves as an official or political representative acting on behalf of a group of citizens.
- 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_69f34923e1548190be0524205d8cdf8f |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe9dfaa2d08190b2084f63f842eb6b |
completed | May 9, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69fe9bba947c81908b0b2b92a4d19b37 |
completed | May 9, 2026, 2:28 a.m. |
| PDg | Predicate description generation | batch_69fe9df9561c8190a068f91c9fc78e56 |
completed | May 9, 2026, 2:37 a.m. |
Created at: May 1, 2026, 1 a.m.