Triple
T16541717
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Economy of Oman |
E401833
|
entity |
| Predicate | diversificationPolicy |
P123957
|
FINISHED |
| Object | industrial 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: industrial development | Statement: [Economy of Oman, diversificationPolicy, industrial development]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: diversificationPolicy Context triple: [Economy of Oman, diversificationPolicy, industrial development]
-
A.
diversifiedIn
Indicates that an entity has expanded its involvement, investments, or activities across multiple different areas, sectors, or asset types.
-
B.
sawDiversificationOf
Indicates that the subject experienced or witnessed a process in which something became more varied, diverse, or differentiated over time.
-
C.
advancedPolicyOf
Indicates that one policy is a more developed, detailed, or progressive version of another policy.
-
D.
dividendPolicy
Indicates the strategy or rules a company follows in deciding whether, when, and how much profit to distribute to shareholders as dividends.
-
E.
isNonDiversified
Indicates that an entity’s resources, investments, or activities are concentrated in a limited set of areas rather than being spread across a diverse range.
- F. None of above. chosen
Provenance (4 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_69d88384bc30819084229e7dcdc39a41 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3455db6788190b929546050ea2488 |
completed | April 18, 2026, 8:48 a.m. |
| PD | Predicate disambiguation | batch_69e2969fab208190ad64164d24748c45 |
completed | April 17, 2026, 8:22 p.m. |
| PDg | Predicate description generation | batch_69e2d7f97e548190a474691a152bd8e8 |
completed | April 18, 2026, 1:01 a.m. |
Created at: April 10, 2026, 5:15 a.m.