Triple
T1055739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alliance for Progress |
E22796
|
entity |
| Predicate | proposedFundingPeriod |
P9416
|
FINISHED |
| Object | 10 years |
—
|
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: 10 years | Statement: [Alliance for Progress, proposedFundingPeriod, 10 years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: proposedFundingPeriod Context triple: [Alliance for Progress, proposedFundingPeriod, 10 years]
-
A.
timePeriodProposed
chosen
Indicates that a specific time period has been suggested or put forward for consideration or adoption.
-
B.
refersToPeriod
Indicates that one entity designates, references, or is associated with a specific time period or interval.
-
C.
fundingModel
Indicates how an entity is financially supported or sustained, such as through specific revenue sources, payment structures, or funding mechanisms.
-
D.
fundedBy
Indicates that an entity receives financial support or resources from another entity.
-
E.
fundingSpeed
Indicates how quickly financial resources are provided or disbursed within a given funding relationship or process.
- 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_69a493da02e081908c13ff5e02a0fe7a |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b8d9102c819090af78cae50f0ff2 |
completed | March 1, 2026, 10:08 p.m. |
| PD | Predicate disambiguation | batch_69a4b731e25c8190b5ea8466648c2c9a |
completed | March 1, 2026, 10:01 p.m. |
Created at: March 1, 2026, 7:42 p.m.