Triple

T6901773
Position Surface form Disambiguated ID Type / Status
Subject Northern Haiti E159511 entity
Predicate contains P35 FINISHED
Object Limbé
Limbé is a historic town in northern Haiti known for its agricultural surroundings and role in the country’s colonial and revolutionary past.
E636863 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: Limbé | Statement: [Northern Haiti, contains, Limbé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Limbé
Context triple: [Northern Haiti, contains, Limbé]
  • A. Port-Gentil
    Port-Gentil is Gabon's second-largest city and a major oil and port hub located on the country's Atlantic coast.
  • B. Kribi
    Kribi is a coastal resort town in southern Cameroon known for its sandy beaches, fishing port, and proximity to the Chutes de la Lobé waterfalls.
  • C. Pointe-Noire
    Pointe-Noire is a major port city on the Atlantic coast of the Republic of the Congo and one of the country’s principal economic and industrial centers.
  • D. Douala
    Douala is the economic capital and main port city of Cameroon, located on the Wouri River along the Atlantic coast.
  • E. Libreville
    Libreville is the largest city and main economic and cultural center of Gabon, located on the country’s Atlantic coast.
  • 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: Limbé
Triple: [Northern Haiti, contains, Limbé]
Generated description
Limbé is a historic town in northern Haiti known for its agricultural surroundings and role in the country’s colonial and revolutionary past.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Limbé
Target entity description: Limbé is a historic town in northern Haiti known for its agricultural surroundings and role in the country’s colonial and revolutionary past.
  • A. Port-Gentil
    Port-Gentil is Gabon's second-largest city and a major oil and port hub located on the country's Atlantic coast.
  • B. Kribi
    Kribi is a coastal resort town in southern Cameroon known for its sandy beaches, fishing port, and proximity to the Chutes de la Lobé waterfalls.
  • C. Pointe-Noire
    Pointe-Noire is a major port city on the Atlantic coast of the Republic of the Congo and one of the country’s principal economic and industrial centers.
  • D. Douala
    Douala is the economic capital and main port city of Cameroon, located on the Wouri River along the Atlantic coast.
  • E. Libreville
    Libreville is the largest city and main economic and cultural center of Gabon, located on the country’s Atlantic coast.
  • 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_69c6883822e0819091e321526f20ae0a completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6d98749208190842ac075255ca249 completed March 27, 2026, 7:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69c775348f6081909fb869dae0237ca9 completed March 28, 2026, 6:29 a.m.
NEDg Description generation batch_69c777c607fc81909d73ca6b9c038073 completed March 28, 2026, 6:40 a.m.
NED2 Entity disambiguation (via description) batch_69c7781fe37c81908c28fb9e65c1559b completed March 28, 2026, 6:41 a.m.
Created at: March 27, 2026, 2:24 p.m.