Triple
T6039565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | International Development Association |
E134509
|
entity |
| Predicate | replenishmentCycle |
P66855
|
FINISHED |
| Object | every three 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: every three years | Statement: [International Development Association, replenishmentCycle, every three years]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: replenishmentCycle Context triple: [International Development Association, replenishmentCycle, every three years]
-
A.
replenishment
chosen
Indicates the action or process of refilling or restoring a resource, supply, or quantity to a desired or original level.
-
B.
operatingCycle
Indicates the duration or process through which an entity completes a full sequence of its operations from start to finish.
-
C.
maintenanceCycle
Indicates the recurring schedule or interval at which maintenance activities are performed or required.
-
D.
hasQuantityPerCycle
Indicates a relationship where a specific quantity is associated with each occurrence or cycle of a repeated process or event.
-
E.
recentCycle
Indicates that the referenced event, process, or cycle occurred in the most recent iteration or time period relative to the current context.
- 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_69c00875db5c819099dd5bb833ec43c2 |
completed | March 22, 2026, 3:19 p.m. |
| NER | Named-entity recognition | batch_69c056ce10cc8190817ade56570adc92 |
completed | March 22, 2026, 8:53 p.m. |
| PD | Predicate disambiguation | batch_69c049eb52a08190ac10fd703735f5aa |
completed | March 22, 2026, 7:58 p.m. |
Created at: March 22, 2026, 4:08 p.m.