Triple

T12698708
Position Surface form Disambiguated ID Type / Status
Subject Marsh Arab culture E303400 entity
Predicate hasCulturalRegion P1968 FINISHED
Object Central Marshes E303397 NE 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: Central Marshes | Statement: [Marsh Arab culture, hasCulturalRegion, Central Marshes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Central Marshes
Context triple: [Marsh Arab culture, hasCulturalRegion, Central Marshes]
  • A. Central Marshes chosen
    The Central Marshes are a vast wetland ecosystem in southern Iraq, historically part of Mesopotamia’s marshlands and home to unique biodiversity and Marsh Arab communities.
  • B. Midgham Marsh
    Midgham Marsh is a wetland area near the village of Midgham in Berkshire, England, known for its natural habitats and local wildlife.
  • C. Dinnyés marshes
    Dinnyés marshes is a protected wetland area in Hungary known for its rich birdlife and ecological significance.
  • D. Odiel Marshes
    Odiel Marshes is a protected coastal wetland and biosphere reserve in southwestern Spain, renowned for its rich birdlife and diverse estuarine ecosystems.
  • E. Cattail Marsh Wetlands
    Cattail Marsh Wetlands is a large wildlife-rich wetland and birding area in Beaumont, Texas, featuring boardwalks, viewing platforms, and nature trails within a broader park setting.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69d7bdef90d48190b46b88270e780946 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d961ed26588190ae76ff17159e06ec completed April 10, 2026, 8:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69f671b066348190aedfe186fc4724f9 completed May 2, 2026, 9:50 p.m.
Created at: April 9, 2026, 5:22 p.m.