Triple
T9735619
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Visitor (2007 film) |
E236048
|
entity |
| Predicate | hasImmigrationDetentionCenterDepiction |
P90725
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [The Visitor (2007 film), hasImmigrationDetentionCenterDepiction, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasImmigrationDetentionCenterDepiction Context triple: [The Visitor (2007 film), hasImmigrationDetentionCenterDepiction, true]
-
A.
placeOfDetention
Indicates the location or facility where an entity is or was held in detention.
-
B.
closedAsImmigrationStation
Indicates that an entity ceased operating in its role as an immigration station.
-
C.
operatedAsImmigrationShedFrom
Indicates that something functioned in the role of an immigration shed starting from a specified point in time.
-
D.
detainedBy
Indicates that an entity is being held in custody or confinement by another entity, typically an authority or controlling party.
-
E.
immigrationControlDestination
Indicates the destination place or jurisdiction toward which immigration control measures or procedures are directed.
- 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_69ca84d313e88190983ee6ffd0ef60d2 |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cd9eee70d48190af5a833d7b33aaa5 |
completed | April 1, 2026, 10:40 p.m. |
| PD | Predicate disambiguation | batch_69cd03c6ffc88190a5e9569e19122ad5 |
completed | April 1, 2026, 11:38 a.m. |
| PDg | Predicate description generation | batch_69cd07c5c978819084abc7267a5ced80 |
completed | April 1, 2026, 11:55 a.m. |
Created at: March 30, 2026, 8:22 p.m.