Triple
T15291357
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zenadh Kes |
E365534
|
entity |
| Predicate | hasTraditionalEconomyActivities |
P57792
|
FINISHED |
| Object | fishing |
—
|
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: fishing | Statement: [Zenadh Kes, hasTraditionalEconomyActivities, fishing]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTraditionalEconomyActivities Context triple: [Zenadh Kes, hasTraditionalEconomyActivities, fishing]
-
A.
hasTraditionalEconomyActivity
chosen
Indicates that an entity engages in or is associated with economic activities based on traditional practices, customs, or subsistence methods.
-
B.
hasEconomicActivity
Indicates that an entity engages in, supports, or is associated with a specific type of economic activity or business operation.
-
C.
hasRuralEconomySector
Indicates that an entity participates in, contains, or is associated with an economic sector based on rural activities or rural development.
-
D.
hasEconomicActivityInAntiquity
Indicates that an entity engaged in or was associated with economic activities (such as trade, production, or commerce) during ancient historical periods.
-
E.
hasEconomicActivityLevel
Indicates the degree or intensity of economic activity associated with an entity, such as its level of production, trade, or financial transactions.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e03680b60c8190a3ea54a9d34c8105 |
completed | April 16, 2026, 1:08 a.m. |
| PD | Predicate disambiguation | batch_69deca90739081909bd1b797cdb8af2b |
completed | April 14, 2026, 11:15 p.m. |
Created at: April 10, 2026, 3:15 a.m.