Triple

T17596047
Position Surface form Disambiguated ID Type / Status
Subject Paniqui, Tarlac, Philippines E428574 entity
Predicate climateClassification P193 FINISHED
Object Am (Köppen) NE NERFINISHED

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: Am (Köppen) | Statement: [Paniqui, Tarlac, Philippines, climateClassification, Am (Köppen)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Am (Köppen)
Context triple: [Paniqui, Tarlac, Philippines, climateClassification, Am (Köppen)]
  • A. Köppen Am chosen
    Köppen Am is a tropical monsoon climate type characterized by consistently high temperatures and a pronounced wet season with heavy rainfall.
  • B. Köppen Dwa
    Köppen Dwa is a humid continental climate subtype characterized by hot, wet summers and cold, dry winters with a pronounced monsoonal influence.
  • C. Köppen Aw
    Köppen Aw is a tropical savanna climate type characterized by consistently warm temperatures and a pronounced dry season.
  • D. Af (Köppen)
    Af (Köppen) is the tropical rainforest climate classification characterized by consistently high temperatures and abundant year-round rainfall with no dry season.
  • E. Köppen BWh
    Köppen BWh is the hot desert climate subtype characterized by extremely low annual precipitation, very high temperatures, and abundant sunshine, typical of the world’s driest desert regions.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e469ec335c8190abcaff700cfff23b completed April 19, 2026, 5:36 a.m.
Created at: April 10, 2026, 5:51 a.m.