Triple

T7078598
Position Surface form Disambiguated ID Type / Status
Subject Tosk region E164886 entity
Predicate hasSubregion P285 FINISHED
Object Myzeqe
Myzeqe is a fertile lowland area in western Albania, known historically as an important agricultural heartland and cultural subregion of the Tosk-speaking population.
 E640944 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: Myzeqe | Statement: [Tosk region, hasSubregion, Myzeqe]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Myzeqe
Context triple: [Tosk region, hasSubregion, Myzeqe]
  • A. Anjezë
    Anjezë is the birth name of Mother Teresa, the Catholic nun and missionary renowned for her humanitarian work among the poor in Kolkata, India.
  • B. Dolo
    Dolo is an Italian stream that serves as a tributary of the Secchia River in northern Italy.
  • C. Metohija
    Metohija is a historical region in western Kosovo known for its fertile plains and numerous medieval Serbian Orthodox monasteries.
  • D. Mestor
    Mestor is a relatively obscure figure in Greek mythology, known primarily as a member of the royal family of Mycenae and part of the wider Perseid lineage.
  • E. Zimeysa
    Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
  • 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: Myzeqe
Triple: [Tosk region, hasSubregion, Myzeqe]
Generated description
Myzeqe is a fertile lowland area in western Albania, known historically as an important agricultural heartland and cultural subregion of the Tosk-speaking population.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Myzeqe
Target entity description: Myzeqe is a fertile lowland area in western Albania, known historically as an important agricultural heartland and cultural subregion of the Tosk-speaking population.
  • A. Anjezë
    Anjezë is the birth name of Mother Teresa, the Catholic nun and missionary renowned for her humanitarian work among the poor in Kolkata, India.
  • B. Dolo
    Dolo is an Italian stream that serves as a tributary of the Secchia River in northern Italy.
  • C. Metohija
    Metohija is a historical region in western Kosovo known for its fertile plains and numerous medieval Serbian Orthodox monasteries.
  • D. Mestor
    Mestor is a relatively obscure figure in Greek mythology, known primarily as a member of the royal family of Mycenae and part of the wider Perseid lineage.
  • E. Zimeysa
    Zimeysa is a railway station in the canton of Geneva, Switzerland, serving local and regional train services on the Geneva–La Plaine line.
  • 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_69c6887cbc6c8190bdfac42d940f4d8a completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e4ef47d48190b31125d1b57f7bec completed March 27, 2026, 8:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7946dbf048190a6307fefeb1dd6a9 completed March 28, 2026, 8:42 a.m.
NEDg Description generation batch_69c7955aefdc8190ab38d93097502ec1 completed March 28, 2026, 8:46 a.m.
NED2 Entity disambiguation (via description) batch_69c795beba2c8190983f871c42f9b72e completed March 28, 2026, 8:47 a.m.
Created at: March 27, 2026, 2:40 p.m.