Triple
T21651281
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Point Puer |
E534342
|
entity |
| Predicate | transportationMethodForInmates |
P144866
|
FINISHED |
| Object | transportation by ship from Britain |
—
|
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: transportation by ship from Britain | Statement: [Point Puer, transportationMethodForInmates, transportation by ship from Britain]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: transportationMethodForInmates Context triple: [Point Puer, transportationMethodForInmates, transportation by ship from Britain]
-
A.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
B.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
C.
carriedPrisonersFrom
Indicates that an entity transported prisoners away from a specified origin location or source.
-
D.
receivesPrisonersFrom
Indicates that one entity accepts or takes custody of prisoners who are transferred from another entity.
-
E.
usedForImprisoning
Indicates that something serves as a means, tool, or method for confining or detaining someone against their will.
- 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_69e0c466aec88190ba39c7543dbc8ba2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef5914a3f88190b797188eba34edd8 |
completed | April 27, 2026, 12:39 p.m. |
| PD | Predicate disambiguation | batch_69e696826c3c81909270791e79760937 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:36 p.m.