Triple

T538475
Position Surface form Disambiguated ID Type / Status
Subject Portuguese Ceylon E12377 entity
Predicate mainPort P942 FINISHED
Object Negombo
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
E78071 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: Negombo | Statement: [Portuguese Ceylon, mainPort, Negombo]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Negombo
Context triple: [Portuguese Ceylon, mainPort, Negombo]
  • A. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • B. Garki
    Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
  • C. Gombe
    Gombe is a region in western Tanzania best known for its national park where pioneering primatologist Jane Goodall conducted her landmark chimpanzee research.
  • D. Gombe
    Gombe is a major city in northeastern Nigeria that serves as the capital and economic hub of Gombe State.
  • E. Tontola
    Tontola is a small locality or hamlet that forms part of the municipality of Predappio in the Emilia-Romagna region of Italy.
  • 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: Negombo
Triple: [Portuguese Ceylon, mainPort, Negombo]
Generated description
Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Negombo
Target entity description: Negombo is a coastal city in western Sri Lanka known historically as a strategic colonial port and today for its fishing industry and beach tourism.
  • A. Kibondo
    Kibondo is a town in western Tanzania that serves as an administrative and commercial center in the Kigoma Region.
  • B. Garki
    Garki is a prominent administrative and commercial district in Nigeria’s capital city, Abuja, housing numerous government offices, businesses, and residential areas.
  • C. Gombe
    Gombe is a region in western Tanzania best known for its national park where pioneering primatologist Jane Goodall conducted her landmark chimpanzee research.
  • D. Gombe
    Gombe is a major city in northeastern Nigeria that serves as the capital and economic hub of Gombe State.
  • E. Tontola
    Tontola is a small locality or hamlet that forms part of the municipality of Predappio in the Emilia-Romagna region of Italy.
  • 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_69a4933208e88190891f5debab1b776d completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a496dc0aac8190afb75ec6c47a1d2d completed March 1, 2026, 7:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a563c01ccc8190a8b9d3ce78ff8ca5 completed March 2, 2026, 10:17 a.m.
NEDg Description generation batch_69a565835d7c8190b5103f21ad509b40 completed March 2, 2026, 10:25 a.m.
NED2 Entity disambiguation (via description) batch_69a5662d775481908700fbd2e6809465 completed March 2, 2026, 10:27 a.m.
Created at: March 1, 2026, 7:32 p.m.