Triple

T74791
Position Surface form Disambiguated ID Type / Status
Subject Libya E1495 entity
Predicate majorCity P316 FINISHED
Object Misrata
Misrata is a key coastal city in northwestern Libya, known as an important commercial and industrial hub and a strategic port on the Mediterranean Sea.
 E16865 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: Misrata | Statement: [Libya, majorCity, Misrata]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Misrata
Context triple: [Libya, majorCity, Misrata]
  • A. Tripoli
    Tripoli is a historic Mediterranean port city that serves as the capital and largest urban center of Libya.
  • B. Algiers
    Algiers is the capital and largest city of Algeria, a major political, economic, and cultural center on the Mediterranean coast of North Africa.
  • C. Sabratha
    Sabratha is an ancient Phoenician and Roman city on Libya’s Mediterranean coast, renowned for its well-preserved classical ruins and monumental theater.
  • D. Tunis
    Tunis is the capital and largest city of Tunisia, serving as a major political, economic, and cultural center in the Arab world.
  • E. Cyrenaica
    Cyrenaica is a historic coastal region in eastern Libya, centered around the ancient Greek city of Cyrene and long significant as a cultural and political area in North Africa.
  • 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: Misrata
Triple: [Libya, majorCity, Misrata]
Generated description
Misrata is a key coastal city in northwestern Libya, known as an important commercial and industrial hub and a strategic port on the Mediterranean Sea.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Misrata
Target entity description: Misrata is a key coastal city in northwestern Libya, known as an important commercial and industrial hub and a strategic port on the Mediterranean Sea.
  • A. Tripoli
    Tripoli is a historic Mediterranean port city that serves as the capital and largest urban center of Libya.
  • B. Algiers
    Algiers is the capital and largest city of Algeria, a major political, economic, and cultural center on the Mediterranean coast of North Africa.
  • C. Sabratha
    Sabratha is an ancient Phoenician and Roman city on Libya’s Mediterranean coast, renowned for its well-preserved classical ruins and monumental theater.
  • D. Tunis
    Tunis is the capital and largest city of Tunisia, serving as a major political, economic, and cultural center in the Arab world.
  • E. Cyrenaica
    Cyrenaica is a historic coastal region in eastern Libya, centered around the ancient Greek city of Cyrene and long significant as a cultural and political area in North Africa.
  • 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_69a24c60d19c8190a1b6c105ca59ef5b completed Feb. 28, 2026, 2:01 a.m.
NER Named-entity recognition batch_69a24f1b99a48190aec004ecd49b4a0d completed Feb. 28, 2026, 2:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2b85cc6b881909e2c13e70b24d934 completed Feb. 28, 2026, 9:41 a.m.
NEDg Description generation batch_69a2bb0254fc8190b75544e32e81d694 completed Feb. 28, 2026, 9:53 a.m.
NED2 Entity disambiguation (via description) batch_69a2bebed99481908eccf03360d90588 completed Feb. 28, 2026, 10:09 a.m.
Created at: Feb. 28, 2026, 2:06 a.m.