Triple
T19702840
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunisian Confederation of Industry, Trade and Handicrafts |
E473137
|
entity |
| Predicate | countryEconomyFocus |
P47951
|
FINISHED |
| Object | Tunisian economy |
—
|
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: Tunisian economy | Statement: [Tunisian Confederation of Industry, Trade and Handicrafts, countryEconomyFocus, Tunisian economy]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryEconomyFocus Context triple: [Tunisian Confederation of Industry, Trade and Handicrafts, countryEconomyFocus, Tunisian economy]
-
A.
regionalEconomyActivity
Indicates the type or level of economic activity occurring within a specific geographic region.
-
B.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific region.
-
C.
hasEconomicFocus
chosen
Indicates that an entity is primarily concerned with, oriented toward, or specializing in economic matters, activities, or impacts.
-
D.
economicSectorSourceOfWealth
Indicates that a particular economic sector is the primary source from which an entity derives its wealth or income.
-
E.
economicTrend
Indicates the general direction or pattern of economic activity or conditions over a period of time.
- 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_69d8e516dd048190a0b6c93ea3e71f58 |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e642b758348190b0cf58d6b2f13e7f |
completed | April 20, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_69e530438c60819082364c7be3eef6f0 |
completed | April 19, 2026, 7:42 p.m. |
Created at: April 10, 2026, 1:46 p.m.