Triple
T26119199
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonegilla Migrant Reception and Training Centre |
E658909
|
entity |
| Predicate | estimatedNumberOfMigrantsProcessed |
P154144
|
FINISHED |
| Object | over 300000 |
—
|
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: over 300000 | Statement: [Bonegilla Migrant Reception and Training Centre, estimatedNumberOfMigrantsProcessed, over 300000]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: estimatedNumberOfMigrantsProcessed Context triple: [Bonegilla Migrant Reception and Training Centre, estimatedNumberOfMigrantsProcessed, over 300000]
-
A.
numberOfImmigrantsProcessed
Indicates the total count of immigrants that have been processed in a given context or system.
-
B.
approximateNumberOfImmigrants
chosen
Indicates an estimated or roughly calculated count of immigrants associated with a given context or entity.
-
C.
estimatedEmigrants
Indicates the estimated number of people who have left a place or country to live elsewhere.
-
D.
estimatedNumberOfPeopleDeported
Indicates the approximate count of individuals who were forcibly removed or expelled from a place or country.
-
E.
typicalMigrationStatus
Indicates the usual or characteristic migration state or pattern associated with an entity.
- 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_69ee5bc20298819099a42be042eb2349 |
completed | April 26, 2026, 6:38 p.m. |
| NER | Named-entity recognition | batch_69f60c698ae48190871cd445422bad91 |
completed | May 2, 2026, 2:38 p.m. |
| PD | Predicate disambiguation | batch_69f60b874cc88190a487230abb69efea |
completed | May 2, 2026, 2:34 p.m. |
Created at: April 26, 2026, 8:07 p.m.