Triple
T6990208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | First Ten-Year Implementation Plan |
E162064
|
entity |
| Predicate | timeSpanWithin |
P6261
|
FINISHED |
| Object | 2013–2063 Agenda 2063 period |
—
|
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: 2013–2063 Agenda 2063 period | Statement: [First Ten-Year Implementation Plan, timeSpanWithin, 2013–2063 Agenda 2063 period]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: timeSpanWithin Context triple: [First Ten-Year Implementation Plan, timeSpanWithin, 2013–2063 Agenda 2063 period]
-
A.
timePeriodWithin
chosen
Indicates that one time period is entirely contained within the bounds of another time period.
-
B.
timePeriod
Indicates the specific span or interval of time during which an event, state, or relationship occurs or is valid.
-
C.
timePeriodAfter
Indicates that one time period occurs entirely later than another time period in a temporal sequence.
-
D.
timeFrameSpecified
Indicates that a specific temporal period or duration has been explicitly defined or constrained for the related event, action, or relationship.
-
E.
timePeriodImplied
Indicates that a time period is inferred or implied by context rather than being explicitly specified.
- 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_69c68856d7808190ab33ee914640281b |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6dbc08758819083d36a1fc0463b27 |
completed | March 27, 2026, 7:34 p.m. |
| PD | Predicate disambiguation | batch_69c6d7c4a18881908d267137daed828b |
completed | March 27, 2026, 7:17 p.m. |
Created at: March 27, 2026, 2:32 p.m.