Triple
T14129571
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Eastern Development Region of Sri Lanka |
E340124
|
entity |
| Predicate | sectoralPlanning |
P87187
|
FINISHED |
| Object | economic development |
—
|
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: economic development | Statement: [Eastern Development Region of Sri Lanka, sectoralPlanning, economic development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: sectoralPlanning Context triple: [Eastern Development Region of Sri Lanka, sectoralPlanning, economic development]
-
A.
economicPlanningBody
Indicates that an entity functions as an organization responsible for formulating, coordinating, or overseeing economic plans and policies.
-
B.
economicPolicyArea
chosen
Indicates the specific domain or sector of economic policy to which an action, measure, or issue is related.
-
C.
sector
Indicates that an entity operates in, belongs to, or is associated with a particular economic or industrial sector.
-
D.
sectoralCoverage
Indicates the specific sectors, industries, or domains to which something (such as a policy, agreement, or dataset) applies or extends.
-
E.
budgetarySector
Indicates that an entity belongs to, is funded through, or is managed within a particular government or organizational budgetary sector.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de610aa434819096671c5aabb9134a |
completed | April 14, 2026, 3:45 p.m. |
| PD | Predicate disambiguation | batch_69de05b5e7a08190a16be9ad8b92b80c |
completed | April 14, 2026, 9:15 a.m. |
Created at: April 9, 2026, 10:23 p.m.