Triple
T13339820
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Minister without Portfolio of Israel |
E317794
|
entity |
| Predicate | hasNoDedicatedMinistry |
P109090
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Minister without Portfolio of Israel, hasNoDedicatedMinistry, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNoDedicatedMinistry Context triple: [Minister without Portfolio of Israel, hasNoDedicatedMinistry, true]
-
A.
hasLayMinistry
Indicates that an entity participates in or is associated with a lay (non-ordained) ministry role or service within a religious context.
-
B.
hasClergy
Indicates that an organization or institution possesses or is served by members of the clergy.
-
C.
hasMinistries
Indicates that an entity possesses, oversees, or is organized into one or more ministries as subordinate units or departments.
-
D.
nonParticipatingChurch
Indicates that a church is not taking part in a specified activity, program, event, or agreement.
-
E.
hasNotableMissionary
Indicates that an entity is associated with, or has, a notable missionary linked to it.
- 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_69d806b5a3c08190b42c267fb092f98a |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d99d01bf8481908cd3a99e5557b972 |
completed | April 11, 2026, 12:59 a.m. |
| PD | Predicate disambiguation | batch_69d98f6e53d88190bd6aa42f69b10ffb |
completed | April 11, 2026, 12:01 a.m. |
| PDg | Predicate description generation | batch_69d99073e4708190843bda3a1ae78f43 |
completed | April 11, 2026, 12:06 a.m. |
Created at: April 9, 2026, 9:31 p.m.