Triple

T659458
Position Surface form Disambiguated ID Type / Status
Subject Galle Fort E11721 entity
Predicate country P26 FINISHED
Object Sri Lanka E23066 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: Sri Lanka | Statement: [Galle Fort, country, Sri Lanka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sri Lanka
Context triple: [Galle Fort, country, Sri Lanka]
  • A. Sri Lanka chosen
    Sri Lanka is an island nation in the Indian Ocean known for its rich cultural heritage, diverse landscapes, and strategic location off the southern coast of India.
  • B. Ceylon (Dutch Ceylon)
    Ceylon (Dutch Ceylon) was a former Dutch colonial territory on the island of Sri Lanka, controlled mainly for its strategic ports and lucrative cinnamon trade from the mid-17th to late 18th century.
  • C. Southern Province, Sri Lanka
    Southern Province, Sri Lanka is a coastal administrative region in the south of Sri Lanka known for its historic cities, beaches, and cultural heritage.
  • D. Maldives
    The Maldives is a tropical island nation in the Indian Ocean renowned for its white-sand beaches, coral reefs, and luxury overwater resorts.
  • E. Mauritius
    Mauritius is an island nation in the Indian Ocean known for its multicultural society, stable democracy, and tourism-driven economy.
  • 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_69a4932862a0819098be659c814e4981 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49fa705c48190a29952c1f7cab901 completed March 1, 2026, 8:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dc98e43881909fbc74750f4b6e3b completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.