Triple

T29018422
Position Surface form Disambiguated ID Type / Status
Subject Kilinochchi Urban Council E737380 entity
Predicate locatedInRegion P40 FINISHED
Object Northern Sri Lanka
Northern Sri Lanka is a predominantly Tamil-populated region of Sri Lanka known for its history in the civil conflict, cultural distinctiveness, and ongoing post-war reconstruction and development.
E1846378 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: Northern Sri Lanka | Statement: [Kilinochchi Urban Council, locatedInRegion, Northern Sri Lanka]
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Northern Sri Lanka
Triple: [Kilinochchi Urban Council, locatedInRegion, Northern Sri Lanka]
Generated description
Northern Sri Lanka is a predominantly Tamil-populated region of Sri Lanka known for its history in the civil conflict, cultural distinctiveness, and ongoing post-war reconstruction and development.

Provenance (5 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_69f077ee19f881909af48f9cab00a2e5 completed April 28, 2026, 9:03 a.m.
NER Named-entity recognition batch_69f65fe293188190a510c1d54a2bf542 completed May 2, 2026, 8:34 p.m.
NED1 Entity disambiguation (via context triple) batch_6a2505cdabdc8190818c4b7da541b5e1 completed June 7, 2026, 5:46 a.m.
NEDg Description generation batch_6a250a0727108190bc085f034870e22e completed June 7, 2026, 6:04 a.m.
NED2 Entity disambiguation (via description) batch_6a250f52bc788190a19327674f832883 completed June 7, 2026, 6:27 a.m.
Created at: April 28, 2026, 9:47 a.m.