Triple

T5909811
Position Surface form Disambiguated ID Type / Status
Subject Colombo Municipal Council area E131430 entity
Predicate contains P35 FINISHED
Object Modara
Modara is a coastal urban neighborhood in Colombo, Sri Lanka, known for its port-adjacent location and dense residential and commercial activity.
 E556808 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: Modara | Statement: [Colombo Municipal Council area, contains, Modara]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Modara
Context triple: [Colombo Municipal Council area, contains, Modara]
  • A. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • B. Yeola
    Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
  • C. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • D. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • E. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • 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: Modara
Triple: [Colombo Municipal Council area, contains, Modara]
Generated description
Modara is a coastal urban neighborhood in Colombo, Sri Lanka, known for its port-adjacent location and dense residential and commercial activity.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Modara
Target entity description: Modara is a coastal urban neighborhood in Colombo, Sri Lanka, known for its port-adjacent location and dense residential and commercial activity.
  • A. Tynaarlo
    Tynaarlo is a municipality in the northeastern Netherlands known for its rural character and location between the cities of Groningen and Assen.
  • B. Yeola
    Yeola is a town in the Nashik district of Maharashtra, India, known historically as the birthplace of the Indian freedom fighter Tatya Tope.
  • C. Mora
    Mora is a municipality in Portugal known for its rural Alentejo landscapes, traditional villages, and proximity to the Montargil reservoir.
  • D. Mora
    Mora is a surname of Hungarian origin most notably borne by the German-Hungarian writer Terézia Mora.
  • E. Mora
    Mora is a town in central Sweden’s Dalarna region, known for its traditional Swedish culture, proximity to Lake Siljan, and as the finish line of the Vasaloppet cross-country ski race.
  • 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_69c008593a44819081a07ae0efe6c574 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c03775590481909a797b166fbe108c completed March 22, 2026, 6:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0c015b90081909777ac5ed80e927c completed March 23, 2026, 4:22 a.m.
NEDg Description generation batch_69c0c1bf78908190933360b1099b1444 completed March 23, 2026, 4:29 a.m.
NED2 Entity disambiguation (via description) batch_69c0c240c3ac8190895c621c3d326bfd completed March 23, 2026, 4:32 a.m.
Created at: March 22, 2026, 3:59 p.m.