Triple
T21210517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Conference of Catholic Bishops of Nigeria |
E522704
|
entity |
| Predicate | concernsItselfWith |
P11116
|
FINISHED |
| Object | human rights in Nigeria |
—
|
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: human rights in Nigeria | Statement: [Conference of Catholic Bishops of Nigeria, concernsItselfWith, human rights in Nigeria]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: concernsItselfWith Context triple: [Conference of Catholic Bishops of Nigeria, concernsItselfWith, human rights in Nigeria]
-
A.
concernedSee
Indicates that one entity looks at or observes another with a sense of worry, care, or concern.
-
B.
targetConcern
Indicates that something is the specific issue, problem, or subject that is the focus of attention, action, or consideration.
-
C.
concern
chosen
Indicates that one entity is about, relates to, or is of interest or importance to another entity.
-
D.
considersItself
Indicates that an entity regards or perceives itself in a particular way, role, or state.
-
E.
strategicConcernFor
Indicates a relationship where one entity considers another entity’s situation, actions, or outcomes important for its own long-term goals, risks, or strategic interests.
- 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_69e0b5112d8881909510b2dcdc93106d |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e73437b040819083d0070bd9c4e44b |
completed | April 21, 2026, 8:24 a.m. |
| PD | Predicate disambiguation | batch_69e5f6094e3c81909ee9699e00d371f7 |
completed | April 20, 2026, 9:46 a.m. |
Created at: April 16, 2026, 3:35 p.m.