Triple
T14701711
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gujba |
E345317
|
entity |
| Predicate | hasPredominantEconomicActivity |
P86518
|
FINISHED |
| Object | Agriculture |
—
|
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: Agriculture | Statement: [Gujba, hasPredominantEconomicActivity, Agriculture]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPredominantEconomicActivity Context triple: [Gujba, hasPredominantEconomicActivity, Agriculture]
-
A.
economicSectorDominant
chosen
Indicates that one economic sector holds a leading or controlling position relative to others in terms of influence, output, or importance.
-
B.
hasEconomicActivity
Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
-
C.
hasEconomicActivityLevel
Indicates the degree or intensity of economic activity associated with an entity, such as its level of production, trade, or financial transactions.
-
D.
regionalEconomyActivity
Indicates the type or level of economic activity occurring within a specific geographic region.
-
E.
regionalEconomyType
Indicates the type or classification of an economy associated with a specific 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_69d822e4a8c08190a155df736bb7bc13 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deb605f5948190ab6b20887c4b6833 |
completed | April 14, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69de657c57ec8190ae0b9bb79a514566 |
completed | April 14, 2026, 4:04 p.m. |
Created at: April 10, 2026, 1:28 a.m.