Triple
T28210241
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Two Sessions |
E711139
|
entity |
| Predicate | policyPlanningHorizon |
P38657
|
FINISHED |
| Object | annual and medium-term planning |
—
|
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: annual and medium-term planning | Statement: [Two Sessions, policyPlanningHorizon, annual and medium-term planning]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: policyPlanningHorizon Context triple: [Two Sessions, policyPlanningHorizon, annual and medium-term planning]
-
A.
planningHorizonYears
Indicates the number of years into the future over which planning or forecasting is intended to be carried out.
-
B.
goalHorizon
chosen
Indicates the temporal or planning horizon within which a goal is intended to be pursued or achieved.
-
C.
planningPolicy
Indicates that one entity establishes or defines rules, guidelines, or strategies governing how another entity should plan or make planning-related decisions.
-
D.
predictionHorizon
Indicates the temporal extent into the future over which a prediction or forecast is intended to apply.
-
E.
urbanPlanningPeriod
Indicates the specific span of time during which urban planning activities, policies, or projects are designed, implemented, or in effect.
- 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_69efb51cb5288190818c1f63a266af11 |
completed | April 27, 2026, 7:12 p.m. |
| NER | Named-entity recognition | batch_69f67f0488bc819089fbd2d2478158d3 |
completed | May 2, 2026, 10:47 p.m. |
| PD | Predicate disambiguation | batch_69f67e3ed894819094c067c1ef624951 |
completed | May 2, 2026, 10:44 p.m. |
Created at: April 27, 2026, 10:38 p.m.