Triple

T11803765
Position Surface form Disambiguated ID Type / Status
Subject Hanthawaddy Kingdom E280691 entity
Predicate notableRuler P22 FINISHED
Object Wareru E951399 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: Wareru | Statement: [Hanthawaddy Kingdom, notableRuler, Wareru]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wareru
Context triple: [Hanthawaddy Kingdom, notableRuler, Wareru]
  • A. Wareru chosen
    Wareru was a 13th-century Mon ruler who established an independent kingdom in Lower Burma that became known as the Hanthawaddy Kingdom.
  • B. Izumiotsu
    Izumiotsu is a coastal city in Osaka Prefecture, Japan, known for its port facilities and industrial waterfront along Osaka Bay.
  • C. Kudawa
    Kudawa is a village in Sri Lanka that serves as a primary gateway for visitors entering the Sinharaja Forest Reserve.
  • D. Orito
    Orito is a municipality and town located in the Putumayo Department of southwestern Colombia, known for its role in regional oil production and its position within the Amazonian foothills.
  • E. Tenryu
    Tenryu is the original name of Japan's famed Blue Impulse aerobatic demonstration team.
  • 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_69d6ab26aae88190b2489efcb2a24234 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a5a2048190b68027f622366079 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f41775f4348190a82e8f6c265c9c36 completed May 1, 2026, 3:01 a.m.
Created at: April 8, 2026, 9:42 p.m.