Triple
T25289122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jean Conservation Camp |
E634030
|
entity |
| Predicate | inmateLaborType |
P64045
|
FINISHED |
| Object | conservation work |
—
|
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: conservation work | Statement: [Jean Conservation Camp, inmateLaborType, conservation work]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inmateLaborType Context triple: [Jean Conservation Camp, inmateLaborType, conservation work]
-
A.
hasInmateLabor
chosen
Indicates that an entity utilizes or is associated with labor performed by incarcerated individuals.
-
B.
prisonType
Indicates the specific category or classification of a prison associated with an entity.
-
C.
prisonerType
Indicates the classification or category assigned to a prisoner within a correctional or detention system.
-
D.
detentionType
Indicates the specific category or form of detention applied to an entity within a custodial or restrictive context.
-
E.
labourOf
Indicates that one entity is the work, effort, or labor performed or contributed by another 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_69e75a9503d48190b80a005c6af0cb50 |
completed | April 21, 2026, 11:08 a.m. |
| NER | Named-entity recognition | batch_69f48e0c2aa88190aca9e47be7138854 |
completed | May 1, 2026, 11:27 a.m. |
| PD | Predicate disambiguation | batch_69f45d06d0388190b36ecde92013624a |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 21, 2026, 1:21 p.m.