Triple
T27716361
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | All-Party Parliamentary Pro-Life Group |
E698828
|
entity |
| Predicate | issueFocusedOn |
P31
|
FINISHED |
| Object | abortion |
—
|
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: abortion | Statement: [All-Party Parliamentary Pro-Life Group, issueFocusedOn, abortion]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: issueFocusedOn Context triple: [All-Party Parliamentary Pro-Life Group, issueFocusedOn, abortion]
-
A.
focusIssue
Indicates that an issue, topic, or problem is the primary subject of attention or concern in a given context.
-
B.
focusesOn
chosen
Indicates that one entity directs its attention, effort, or primary activity toward another entity or specific subject.
-
C.
focusType
Indicates the specific kind or category of focus or attention that is being applied to or associated with an entity or interaction.
-
D.
categoryFocus
Indicates that one entity is the primary subject, theme, or focal point within the broader category defined by the other entity.
-
E.
investigativeFocus
Indicates that an entity is the primary subject or target of investigation, inquiry, or detailed scrutiny 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_69ef591012dc8190a6f1ec994f9f7ff7 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6aaf50be08190a2b62a6d881f8aee |
completed | May 3, 2026, 1:55 a.m. |
| PD | Predicate disambiguation | batch_69f6aa1c555081908787dbf76147f180 |
completed | May 3, 2026, 1:51 a.m. |
Created at: April 27, 2026, 3:04 p.m.