Triple
T1964089
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Julian Assange |
E42648
|
entity |
| Predicate | endTimeOfRefugeInEcuadorianEmbassy |
P34450
|
FINISHED |
| Object | 2019 |
—
|
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: 2019 | Statement: [Julian Assange, endTimeOfRefugeInEcuadorianEmbassy, 2019]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: endTimeOfRefugeInEcuadorianEmbassy Context triple: [Julian Assange, endTimeOfRefugeInEcuadorianEmbassy, 2019]
-
A.
approximateNumberOfRefugeesTransported
Indicates an estimated count of refugees who were transported in the described event or context.
-
B.
attemptedToSeekAsylumIn
Indicates that an entity tried, but may not have succeeded, to obtain asylum in a particular place or country.
-
C.
yearOfAsylum
Indicates the specific year in which an entity was granted or obtained asylum.
-
D.
hasRefugeePopulation
Indicates that an entity hosts, contains, or is associated with a population of refugees.
-
E.
hasRefugeeCamp
Indicates that a location or entity hosts, contains, or is the site of a refugee camp.
- 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_69a88711151c8190940b2572095059d7 |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb68a8e608190bc37a85913b3cd44 |
completed | March 7, 2026, 5:24 a.m. |
| PD | Predicate disambiguation | batch_69abaff5dbd48190a9d36ca60de151db |
completed | March 7, 2026, 4:56 a.m. |
| PDg | Predicate description generation | batch_69abb6893eb881908923f0168374596a |
completed | March 7, 2026, 5:24 a.m. |
Created at: March 4, 2026, 7:36 p.m.