Triple

T1212014
Position Surface form Disambiguated ID Type / Status
Subject Dhaka E26021 entity
Predicate climateClassification P193 FINISHED
Object Köppen Aw E97834 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: Köppen Aw | Statement: [Dhaka, climateClassification, Köppen Aw]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Köppen Aw
Context triple: [Dhaka, climateClassification, Köppen Aw]
  • A. Köppen Aw chosen
    Köppen Aw is a tropical savanna climate type characterized by consistently warm temperatures and a pronounced dry season.
  • B. African drylands
    African drylands are vast arid and semi-arid regions across Africa characterized by low and variable rainfall, fragile ecosystems, and livelihoods heavily dependent on rain-fed agriculture and pastoralism.
  • C. Afro-Eurasian desert belt
    The Afro-Eurasian desert belt is a vast, continuous arid zone stretching across North Africa, the Middle East, and Central to East Asia, encompassing many of the world’s largest hot and cold deserts.
  • D. Sudan savanna
    The Sudan savanna is a broad belt of tropical grassland with scattered trees stretching across central Africa between the Sahel to the north and the wetter forest zones to the south.
  • E. Afromontane forests
    Afromontane forests are high-altitude, moisture-loving tropical and subtropical mountain forests in Africa, characterized by cool climates, high biodiversity, and many endemic plant and animal species.
  • 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_69a4948331fc8190b531ac9bec71c491 completed March 1, 2026, 7:33 p.m.
NER Named-entity recognition batch_69a4bde581308190bbe30683bf6c48c3 completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac7f43a12c8190a1ba90eefafd6bbc completed March 7, 2026, 7:40 p.m.
Created at: March 1, 2026, 7:46 p.m.