Triple

T3775175
Position Surface form Disambiguated ID Type / Status
Subject Legislative Council of Ceylon E83289 entity
Predicate meetsIn P40 FINISHED
Object Colombo E11029 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: Colombo | Statement: [Legislative Council of Ceylon, meetsIn, Colombo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Colombo
Context triple: [Legislative Council of Ceylon, meetsIn, Colombo]
  • A. Colombo chosen
    Colombo is the largest city and commercial capital of Sri Lanka, historically significant as a key Indian Ocean trading hub.
  • B. Sri Jayawardenepura Kotte
    Sri Jayawardenepura Kotte is the administrative capital of Sri Lanka, located near Colombo and serving as the seat of the national legislature.
  • C. Galle
    Galle is a historic coastal city in southern Sri Lanka renowned for its well-preserved colonial-era fort and long-standing role as a key Indian Ocean trading hub.
  • D. Kandy
    Kandy is a historic city in central Sri Lanka renowned for its cultural heritage, including the Temple of the Tooth and its role as a former royal stronghold.
  • E. Badulla
    Badulla is a major town in Sri Lanka’s central highlands, known as the capital of Uva Province and a regional hub surrounded by tea plantations and scenic mountain landscapes.
  • 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_69ad8b235e608190b5a2b1d1bfcef50b completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcc5ac9688190bc921cd3ba1d0580 completed March 8, 2026, 7:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69b503ea77708190ae55cd1892735b22 completed March 14, 2026, 6:44 a.m.
Created at: March 8, 2026, 3:36 p.m.