Triple
T29849862
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | eastern Austria |
E758035
|
entity |
| Predicate | economicActivityLevel |
P39922
|
FINISHED |
| Object | high |
—
|
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: high | Statement: [eastern Austria, economicActivityLevel, high]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: economicActivityLevel Context triple: [eastern Austria, economicActivityLevel, high]
-
A.
hasEconomicActivityLevel
chosen
Indicates the degree or intensity of economic activity associated with an entity, such as its level of production, trade, or financial transactions.
-
B.
hasEconomicActivity
Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
-
C.
economicClassification
Indicates how an entity is categorized based on its economic characteristics, status, or role within an economic system.
-
D.
formerEconomicActivity
Indicates that an entity previously engaged in a specified economic activity but no longer does so.
-
E.
regionalEconomyActivity
Indicates the type or level of economic activity occurring within a specific geographic region.
- 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_69f2245a82cc8190a387e7d0118d710b |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 29, 2026, 5:43 p.m.