Triple
T17946947
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Manus Island |
E448726
|
entity |
| Predicate | detentionCentreSubjectOf |
P129839
|
FINISHED |
| Object | international scrutiny |
—
|
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: international scrutiny | Statement: [Manus Island, detentionCentreSubjectOf, international scrutiny]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: detentionCentreSubjectOf Context triple: [Manus Island, detentionCentreSubjectOf, international scrutiny]
-
A.
detainsUnder
Indicates that one entity holds another in custody or confinement under a specific legal authority, provision, or condition.
-
B.
placeOfDetention
Indicates the location or facility where an entity is or was held in detention.
-
C.
detainedBy
Indicates that an entity is being held in custody or confinement by another entity, typically an authority or controlling party.
-
D.
detentionType
Indicates the specific category or form of detention applied to an entity within a custodial or restrictive context.
-
E.
detainedPrisonersFrom
Indicates that an authority is holding prisoners who originate from or are associated with a specified place or source.
- 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_69d8b9f8cca8819099836916c56b7c95 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e4ad99df408190a8a4e3d21c03fe71 |
completed | April 19, 2026, 10:25 a.m. |
| PD | Predicate disambiguation | batch_69e3f8f2bd088190b1e22ad4d9cc8b13 |
completed | April 18, 2026, 9:34 p.m. |
| PDg | Predicate description generation | batch_69e42d8d68288190a05dc5d7803cf823 |
completed | April 19, 2026, 1:19 a.m. |
Created at: April 10, 2026, 10:21 a.m.