Triple

T3222224
Position Surface form Disambiguated ID Type / Status
Subject João Lourenço E67535 entity
Predicate placeOfBirth P1 FINISHED
Object Lobito
Lobito is a coastal city and major port in western Angola, known for its strategic harbor and role in the country’s trade and transport.
 E337749 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: Lobito | Statement: [João Lourenço, placeOfBirth, Lobito]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lobito
Context triple: [João Lourenço, placeOfBirth, Lobito]
  • A. Ciluba
    Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
  • B. Samaná
    Samaná is a municipality and town located in the Caldas Department of central Colombia, known for its mountainous landscapes and coffee-growing traditions.
  • C. Caicó
    Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
  • D. Humaitá
    Humaitá is a historic town in southern Paraguay known for its strategic role and heavily fortified position during the Paraguayan War.
  • E. Berbice
    Berbice was a former Dutch and later British colony on the northern coast of South America, in what is now part of Guyana.
  • 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: Lobito
Triple: [João Lourenço, placeOfBirth, Lobito]
Generated description
Lobito is a coastal city and major port in western Angola, known for its strategic harbor and role in the country’s trade and transport.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lobito
Target entity description: Lobito is a coastal city and major port in western Angola, known for its strategic harbor and role in the country’s trade and transport.
  • A. Ciluba
    Ciluba is a Bantu language spoken primarily in the Democratic Republic of the Congo, especially in the Kasai region.
  • B. Samaná
    Samaná is a municipality and town located in the Caldas Department of central Colombia, known for its mountainous landscapes and coffee-growing traditions.
  • C. Caicó
    Caicó is a municipality in the interior of Rio Grande do Norte, Brazil, known for its strong cultural traditions, especially its famous religious festivals and regional cuisine.
  • D. Humaitá
    Humaitá is a historic town in southern Paraguay known for its strategic role and heavily fortified position during the Paraguayan War.
  • E. Berbice
    Berbice was a former Dutch and later British colony on the northern coast of South America, in what is now part of Guyana.
  • 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_69ad858b8adc8190ad989712c87a476b completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adae1845408190b3eccd791231c69c completed March 8, 2026, 5:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2624f74b8819086fd54d0cf326fe9 completed March 12, 2026, 6:50 a.m.
NEDg Description generation batch_69b264c54c508190be85da879935e7f4 completed March 12, 2026, 7:01 a.m.
NED2 Entity disambiguation (via description) batch_69b268d60bd0819097194da2e9065947 completed March 12, 2026, 7:18 a.m.
Created at: March 8, 2026, 3:08 p.m.