Triple
T32283854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Consulate General |
E824770
|
entity |
| Predicate | rankComparedToConsulate |
P126996
|
FINISHED |
| Object | higher |
—
|
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: higher | Statement: [Consulate General, rankComparedToConsulate, higher]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: rankComparedToConsulate Context triple: [Consulate General, rankComparedToConsulate, higher]
-
A.
diplomaticRankRelative
chosen
Indicates the relative seniority or hierarchical ranking between two diplomatic positions or titles.
-
B.
haveConsulates
Indicates that one country maintains consular offices or consulates within the territory of another country.
-
C.
overseesConsulatesOf
Indicates that one entity has authority over, manages, or supervises the consulates belonging to another entity.
-
D.
hasConsulateOfUnitedStatesIn
Indicates that a consulate of the United States is located in the specified place.
-
E.
consularColleague
Indicates that two individuals work together as colleagues within a consulate or consular service.
- 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_69f3490f404081908450db66884f4334 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69f6bccd1aa88190882a5dbb8100ca1e |
completed | May 3, 2026, 3:11 a.m. |
| PD | Predicate disambiguation | batch_69f6b632cf788190a3d0c08cd026b84b |
completed | May 3, 2026, 2:42 a.m. |
Created at: May 1, 2026, 12:43 a.m.