Triple

T8884056
Position Surface form Disambiguated ID Type / Status
Subject Raqqa E211483 entity
Predicate preWarEconomicActivity P33336 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: [Raqqa, preWarEconomicActivity, agriculture]
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: preWarEconomicActivity
Context triple: [Raqqa, preWarEconomicActivity, agriculture]
  • A. prewarActivity chosen
    Indicates activities, conditions, or behaviors that occurred or were carried out before a specific war or armed conflict.
  • B. postwarActivity
    Indicates activities, roles, or developments associated with an entity specifically in the period following a war or major conflict.
  • C. preWarCountry
    Indicates that a country existed or held a particular status prior to a specified war or major armed conflict.
  • D. prewarStatus
    Indicates the condition, role, or circumstances of an entity as they existed before a specific war or armed conflict.
  • E. preWarOccupation
    Indicates the occupation or role a person held before a specific war or armed conflict.
  • 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_69ca838f9e20819096ab1f236a70381a completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc616b2d988190b923ef1e33aab787 completed April 1, 2026, 12:06 a.m.
PD Predicate disambiguation batch_69cc5c2aec04819093c932fe51c0f08d completed March 31, 2026, 11:43 p.m.
Created at: March 30, 2026, 6:53 p.m.