Triple
T6707284
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | European Social Fund |
E153038
|
entity |
| Predicate | successorProgrammeStart |
P72554
|
FINISHED |
| Object | 2021 |
—
|
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: 2021 | Statement: [European Social Fund, successorProgrammeStart, 2021]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: successorProgrammeStart Context triple: [European Social Fund, successorProgrammeStart, 2021]
-
A.
adoptedProgramme
Indicates that an entity has formally accepted and put into practice a specific programme or plan.
-
B.
successorSystem
Indicates that one system directly follows and replaces another in function, role, or version.
-
C.
successorAircraftProgram
Indicates that one aircraft program directly follows and replaces another as its successor in development or service.
-
D.
successorCampaign
Indicates that one campaign directly follows and continues or replaces another campaign in sequence.
-
E.
successorProcess
Indicates that one process directly follows another in a defined sequence or workflow.
- 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_69c68808d8d8819087369015270788fe |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d16897e48190b43eda2206b14d6a |
completed | March 27, 2026, 6:50 p.m. |
| PD | Predicate disambiguation | batch_69c6d089c7488190a00853fb12f53b2a |
completed | March 27, 2026, 6:46 p.m. |
| PDg | Predicate description generation | batch_69c6d1668a7c8190ae93951f9ba2df10 |
completed | March 27, 2026, 6:50 p.m. |
Created at: March 27, 2026, 2:06 p.m.