Triple

T14579700
Position Surface form Disambiguated ID Type / Status
Subject Kataragama E342153 entity
Predicate nearbyTown P3883 FINISHED
Object Tissamaharama E321677 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: Tissamaharama | Statement: [Kataragama, nearbyTown, Tissamaharama]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tissamaharama
Context triple: [Kataragama, nearbyTown, Tissamaharama]
  • A. Tissamaharama chosen
    Tissamaharama is a historic town in southern Sri Lanka known as a gateway to nearby national parks and ancient Buddhist sites.
  • B. Rakhine Yoma
    Rakhine Yoma is a coastal mountain range in western Myanmar that runs parallel to the Bay of Bengal and forms a natural barrier between the Rakhine coast and the central plains.
  • C. Sittwe
    Sittwe is a coastal city in western Myanmar that has been a focal point of political unrest and ethnic tensions, including major protests during the Saffron Revolution.
  • D. Cox’s Bazar refugee camps
    The Cox’s Bazar refugee camps are a vast complex of overcrowded settlements in southeastern Bangladesh that host hundreds of thousands of Rohingya refugees who fled persecution in Myanmar.
  • E. Moulamein
    Moulamein is a small rural town in the Riverina region of New South Wales, Australia, known for its historic buildings and riverside setting.
  • 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_69d822ddc0f081909cd8163c7de298cd completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb3f6f78c81908a30ecb4c025299d completed April 14, 2026, 9:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd8ad03e7881908a783182c6d656b5 completed May 8, 2026, 7:03 a.m.
Created at: April 10, 2026, 1:24 a.m.