Triple
T31887938
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Magdalene asylums |
E814053
|
entity |
| Predicate | humanRightsIssues |
P25890
|
FINISHED |
| Object | forced labour |
—
|
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: forced labour | Statement: [Magdalene asylums, humanRightsIssues, forced labour]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: humanRightsIssues Context triple: [Magdalene asylums, humanRightsIssues, forced labour]
-
A.
humanRightsConcern
chosen
Indicates a situation, action, or condition that raises issues related to the recognition, protection, or violation of human rights.
-
B.
humanRightsSituation
Indicates the overall condition, treatment, and respect for individuals’ fundamental rights and freedoms within a given context or jurisdiction.
-
C.
roleInHumanRights
Indicates that an entity holds a specific role, position, or function within the domain of human rights activities, institutions, or advocacy.
-
D.
recognizesHumanRightsThrough
Indicates that an entity acknowledges, upholds, or implements human rights by means of a specific instrument, mechanism, action, or intermediary.
-
E.
stanceOnHumanRightsRecord
Indicates the position or evaluation an entity holds regarding another entity’s human rights record.
- 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_69f348ef817481908440e2250319bcc8 |
completed | April 30, 2026, 12:19 p.m. |
| NER | Named-entity recognition | batch_69f6b21e7e088190832a3db585daea1c |
completed | May 3, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69f6b14faf608190a25b977c0740729c |
completed | May 3, 2026, 2:22 a.m. |
Created at: April 30, 2026, 11:57 p.m.