Triple

T10543777
Position Surface form Disambiguated ID Type / Status
Subject Irrawaddy Delta E248761 entity
Predicate hasMajorCity P316 FINISHED
Object Hinthada E860736 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: Hinthada | Statement: [Irrawaddy Delta, hasMajorCity, Hinthada]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hinthada
Context triple: [Irrawaddy Delta, hasMajorCity, Hinthada]
  • A. Hinthada chosen
    Hinthada is a town in southwestern Myanmar known as a regional commercial center along the Irrawaddy River.
  • B. Nyaung-U
    Nyaung-U is a historic town in central Myanmar best known as the main gateway to the ancient temple plain of Bagan.
  • C. Tanintharyi
    Tanintharyi is a coastal region in southern Myanmar known for its long Andaman Sea shoreline, rich biodiversity, and historical role as a trade corridor between India and Southeast Asia.
  • D. Myittha
    Myittha is a town located in Myanmar’s central Mandalay Region.
  • E. Kyaukse
    Kyaukse is a town in central Myanmar known for its fertile agricultural lands and historic Buddhist pagodas, located south of Mandalay in the Mandalay Region.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d51911b10481909e6e548879e8de36 completed April 7, 2026, 2:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69d94b23b2988190b536d5ecb76298ff completed April 10, 2026, 7:10 p.m.
Created at: April 6, 2026, 12:32 p.m.