Triple

T7098022
Position Surface form Disambiguated ID Type / Status
Subject Hambantota E165380 entity
Predicate historicalRegion P915 FINISHED
Object Ruhuna
Ruhuna is an ancient historical region in southern Sri Lanka, known for its early Sinhalese kingdoms and rich archaeological heritage.
E641555 NE FINISHED

How this triple was built (4 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: Ruhuna | Statement: [Hambantota, historicalRegion, Ruhuna]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ruhuna
Context triple: [Hambantota, historicalRegion, Ruhuna]
  • A. Sabaragamuwa
    Sabaragamuwa is a historical region in Sri Lanka known for its rich natural resources, including gem mining and lush rainforests.
  • B. Kaduwela
    Kaduwela is a rapidly developing suburban town in Sri Lanka’s Western Province, situated near Colombo and known for its growing residential and commercial significance.
  • C. Bambalapitiya
    Bambalapitiya is a coastal suburb and prominent residential and commercial neighborhood in Colombo, Sri Lanka.
  • D. Seethawaka
    Seethawaka is a historically significant town and administrative area in Sri Lanka’s Western Province, known for its role in the 16th-century Seethawaka kingdom and its lush, hilly landscape.
  • E. Hikkaduwa
    Hikkaduwa is a coastal town in southern Sri Lanka known for its beaches, coral reefs, and surf culture.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
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: Ruhuna
Triple: [Hambantota, historicalRegion, Ruhuna]
Generated description
Ruhuna is an ancient historical region in southern Sri Lanka, known for its early Sinhalese kingdoms and rich archaeological heritage.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ruhuna
Target entity description: Ruhuna is an ancient historical region in southern Sri Lanka, known for its early Sinhalese kingdoms and rich archaeological heritage.
  • A. Sabaragamuwa
    Sabaragamuwa is a historical region in Sri Lanka known for its rich natural resources, including gem mining and lush rainforests.
  • B. Kaduwela
    Kaduwela is a rapidly developing suburban town in Sri Lanka’s Western Province, situated near Colombo and known for its growing residential and commercial significance.
  • C. Bambalapitiya
    Bambalapitiya is a coastal suburb and prominent residential and commercial neighborhood in Colombo, Sri Lanka.
  • D. Seethawaka
    Seethawaka is a historically significant town and administrative area in Sri Lanka’s Western Province, known for its role in the 16th-century Seethawaka kingdom and its lush, hilly landscape.
  • E. Hikkaduwa
    Hikkaduwa is a coastal town in southern Sri Lanka known for its beaches, coral reefs, and surf culture.
  • F. None of above. chosen

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_69c6887fcddc8190a5d58908f6dee590 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e5561dd08190be6b784754a0c1bc completed March 27, 2026, 8:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c79ca2be7c8190b5a8c6f2c64a0d8d completed March 28, 2026, 9:17 a.m.
NEDg Description generation batch_69c79d16d3408190a36ab53d5d202e15 completed March 28, 2026, 9:19 a.m.
NED2 Entity disambiguation (via description) batch_69c79dc7d7d8819097e423ef70b03040 completed March 28, 2026, 9:22 a.m.
Created at: March 27, 2026, 2:42 p.m.