Triple
T22120526
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Aetomilitsa |
E546653
|
entity |
| Predicate | primaryTraditionalEconomicActivity |
P57792
|
FINISHED |
| Object | sheep herding |
—
|
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: sheep herding | Statement: [Aetomilitsa, primaryTraditionalEconomicActivity, sheep herding]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryTraditionalEconomicActivity Context triple: [Aetomilitsa, primaryTraditionalEconomicActivity, sheep herding]
-
A.
primarySectorActivity
Indicates the main industry or sector in which an entity primarily conducts its activities or operations.
-
B.
formerEconomicActivity
Indicates that an entity previously engaged in a specified economic activity but no longer does so.
-
C.
primaryTrade
Indicates that the referenced activity or exchange is the main or most significant trade relationship associated with the entities involved.
-
D.
hasTraditionalEconomyActivity
chosen
Indicates that an entity engages in or is associated with economic activities based on traditional practices, customs, or subsistence methods.
-
E.
primaryLandUse
Indicates the main or dominant way in which a given piece of land is utilized or designated (e.g., residential, agricultural, commercial).
- 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_69e11e38b3848190ac3a4fa97d56e65a |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f12951fcd48190841319cd879c15cb |
completed | April 28, 2026, 9:40 p.m. |
| PD | Predicate disambiguation | batch_69e71b2ed7348190b6fa2e52f54393fb |
completed | April 21, 2026, 6:37 a.m. |
Created at: April 16, 2026, 8:31 p.m.