Triple
T19779106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tampere Theatre |
E475084
|
entity |
| Predicate | isPubliclySubsidized |
P123933
|
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: [Tampere Theatre, isPubliclySubsidized, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isPubliclySubsidized Context triple: [Tampere Theatre, isPubliclySubsidized, true]
-
A.
wasStateSubsidized
chosen
Indicates that an entity received financial support or subsidies from a state or government authority.
-
B.
hasLowIncomeSubsidyProgram
Indicates that an entity operates or offers a program providing financial assistance or subsidies specifically targeted at individuals or groups with low income.
-
C.
subsidizedInterest
Indicates that the interest on a loan or financial obligation is partially or fully paid or reduced by a third party, typically a government or institution, rather than borne entirely by the borrower.
-
D.
typeOfSubsidy
Indicates that one entity is a specific kind or category of subsidy in relation to another entity.
-
E.
isTuitionFree
Indicates that an educational program, institution, or course does not require students to pay tuition fees.
- 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_69d8e51a43a08190956bc6df13c91a77 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6538230488190b45cd8aaec658f7f |
completed | April 20, 2026, 4:25 p.m. |
| PD | Predicate disambiguation | batch_69e53053ed2881908400becdfada7fd3 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 1:49 p.m.