Triple
T11544461
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Priest |
E273746
|
entity |
| Predicate | classStrength |
P99997
|
FINISHED |
| Object | single-target removal |
—
|
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: single-target removal | Statement: [Priest, classStrength, single-target removal]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: classStrength Context triple: [Priest, classStrength, single-target removal]
-
A.
participantStrength
Indicates the degree or level of involvement, influence, or contribution that a participant has within a given event, interaction, or relationship.
-
B.
classLevel
Indicates the academic or hierarchical level associated with a particular class within an educational or organizational structure.
-
C.
numberInClass
Indicates that a specified entity is a member of, or belongs to, a particular class or category.
-
D.
typicalClassSize
Indicates the usual or average number of students (or participants) that are present in a single class or course section.
-
E.
schoolSubjectStrength
Indicates a relationship where an entity has a particular level of ability or proficiency in a specific school subject.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e1d754819089f3b6be3404fa0b |
completed | April 10, 2026, 5:13 a.m. |
| PD | Predicate disambiguation | batch_69d8087cbe7c819085680f3d67ccc978 |
completed | April 9, 2026, 8:13 p.m. |
| PDg | Predicate description generation | batch_69d822ef46988190a1c360da4ee14fef |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 8, 2026, 9:37 p.m.