Triple

T2375844
Position Surface form Disambiguated ID Type / Status
Subject Eastern Visayas E46196 entity
Predicate hitBy P993 FINISHED
Object Typhoon Yolanda E261522 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: Typhoon Yolanda | Statement: [Eastern Visayas, hitBy, Typhoon Yolanda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Typhoon Yolanda
Context triple: [Eastern Visayas, hitBy, Typhoon Yolanda]
  • A. Typhoon Haiyan chosen
    Typhoon Haiyan was one of the strongest and deadliest tropical cyclones ever recorded, devastating large parts of the Philippines and surrounding regions in November 2013.
  • B. Shimotsumaki
    Shimotsumaki is the third and final volume of the ancient Japanese chronicle Kojiki, focusing largely on historical-era emperors and genealogies rather than mythological narratives.
  • C. Cyclone Nargis
    Cyclone Nargis was a devastating 2008 tropical cyclone that struck Myanmar, causing catastrophic flooding and one of the deadliest natural disasters in the country's history.
  • D. Typhoon FGR4
    The Typhoon FGR4 is a multirole variant of the Eurofighter Typhoon used by the Royal Air Force for air-to-air and air-to-ground combat operations.
  • E. Cyclone Tracy
    Cyclone Tracy was a devastating tropical cyclone that struck Darwin, Australia, on Christmas Eve 1974, destroying most of the city and causing significant loss of life.
  • 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_69a88a1554a48190a0180682bcf099be completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc794eee481908163148e1e666d9b completed March 7, 2026, 6:37 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3ca7ef88190902e1c8429694a82 completed March 9, 2026, 11:49 a.m.
Created at: March 4, 2026, 7:57 p.m.