Triple
T38029398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Concordia College Alabama |
E948864
|
entity |
| Predicate | hasTypeOfInstitutionControl |
P55410
|
FINISHED |
| Object | church-controlled |
—
|
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: church-controlled | Statement: [Concordia College Alabama, hasTypeOfInstitutionControl, church-controlled]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTypeOfInstitutionControl Context triple: [Concordia College Alabama, hasTypeOfInstitutionControl, church-controlled]
-
A.
hasInstitutionalControl
Indicates that one entity exercises formal authority, governance, or decision-making power over an institution or organizational body.
-
B.
institutionalControl
Indicates that one institution has governing, regulatory, or managerial authority over another entity or activity.
-
C.
hasPrimaryInstitutionType
chosen
Indicates that an entity’s main or principal institutional classification or category is of a specified type.
-
D.
governsInstitutionType
Indicates that an entity has authoritative control or regulatory oversight over a particular type or category of institution.
-
E.
focusesOnInstitutionControl
Indicates that the primary emphasis or concern is on controlling or governing institutions and their decision-making processes.
- 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_69f76efd1bc48190a729097fe5177b61 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_6a00053d8004819097ad9cf6431a20a3 |
completed | May 10, 2026, 4:10 a.m. |
| PD | Predicate disambiguation | batch_6a0004b3a82c81908e2bf9a533a93eb6 |
completed | May 10, 2026, 4:08 a.m. |
Created at: May 3, 2026, 4:20 p.m.