Triple
T26119195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonegilla Migrant Reception and Training Centre |
E658909
|
entity |
| Predicate | receivedMigrantsFrom |
P163713
|
FINISHED |
| Object | Europe |
—
|
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: Europe | Statement: [Bonegilla Migrant Reception and Training Centre, receivedMigrantsFrom, Europe]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: receivedMigrantsFrom Context triple: [Bonegilla Migrant Reception and Training Centre, receivedMigrantsFrom, Europe]
-
A.
numberOfImmigrantsProcessed
Indicates the total count of immigrants that have been processed in a given context or system.
-
B.
carriedImmigrantsFrom
Indicates that one entity transported immigrants from a specified origin location to another place.
-
C.
estimatedEmigrants
Indicates the estimated number of people who have left a place or country to live elsewhere.
-
D.
receivedAsylumFrom
Indicates that one entity was granted asylum or refuge by another entity, typically a state or institution.
-
E.
carriedImmigrantsTo
Indicates that one entity transported immigrants from one place to another.
- 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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f6397b64f881909d811225e57aac5e |
completed | May 2, 2026, 5:50 p.m. |
| PD | Predicate disambiguation | batch_69f63706b6008190993577193c85ff50 |
completed | May 2, 2026, 5:40 p.m. |
| PDg | Predicate description generation | batch_69f638d029148190877c103f0eeaf147 |
completed | May 2, 2026, 5:48 p.m. |
Created at: April 26, 2026, 8:07 p.m.