Triple
T4075722
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Judiciary of Indiana |
E86759
|
entity |
| Predicate | hasNumberOfSupremeCourtJustices |
P26911
|
FINISHED |
| Object | 5 |
—
|
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: 5 | Statement: [Judiciary of Indiana, hasNumberOfSupremeCourtJustices, 5]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNumberOfSupremeCourtJustices Context triple: [Judiciary of Indiana, hasNumberOfSupremeCourtJustices, 5]
-
A.
numberOfSupremeCourtJustices
chosen
Indicates the total count of individuals serving as justices on a specified Supreme Court.
-
B.
definedNumberOfAssociateJustices
Indicates that an entity specifies or establishes the exact number of associate justices in a particular judicial body or court.
-
C.
numberOfAssociateJustices
Indicates the total count of associate justices associated with a given judicial body or court.
-
D.
currentTotalJustices
Indicates the relationship that specifies the present number of justices serving on a particular court or judicial body.
-
E.
initialTotalJustices
Indicates the total number of justices present at the initial point or start of a specified period or event.
- 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_69aed93ebe448190a1f1686e28740ac9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefc25e2e08190b3c048e1b8f85bbf |
completed | March 9, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69aef9082c2081908474f082a49bebc8 |
completed | March 9, 2026, 4:44 p.m. |
Created at: March 9, 2026, 3:39 p.m.