Triple

T499331
Position Surface form Disambiguated ID Type / Status
Subject Yalta Municipality E10364 entity
Predicate contains P35 FINISHED
Object Massandra
Massandra is a resort settlement near Yalta in Crimea, best known for its historic winery and palace.
E66841 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: Massandra | Statement: [Yalta Municipality, contains, Massandra]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Massandra
Context triple: [Yalta Municipality, contains, Massandra]
  • A. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • B. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • C. Amada
    Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
  • D. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • E. Helena
    Helena, also known as Saint Helena, was the mother of Roman Emperor Constantine the Great and is traditionally credited with finding the True Cross and promoting Christianity within the Roman Empire.
  • 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: Massandra
Triple: [Yalta Municipality, contains, Massandra]
Generated description
Massandra is a resort settlement near Yalta in Crimea, best known for its historic winery and palace.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Massandra
Target entity description: Massandra is a resort settlement near Yalta in Crimea, best known for its historic winery and palace.
  • A. Paola
    Paola is an Italian noblewoman who became Queen consort of Belgium as the wife of King Albert II.
  • B. Soral
    Soral is a small rural municipality in southwestern Switzerland, located in the canton of Geneva near the French border.
  • C. Amada
    Amada is an ancient Egyptian temple site in Lower Nubia, renowned for its well-preserved reliefs and inscriptions dating back to the 18th Dynasty.
  • D. Mila
    Mila is a leading artificial intelligence research institute based in Quebec, renowned for its work in deep learning and machine learning.
  • E. Helena
    Helena is the capital city of the U.S. state of Montana, known for its historic gold rush origins and scenic location in the northern Rocky Mountains.
  • 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_69a2e847df8481909239ec08ccf1e376 completed Feb. 28, 2026, 1:06 p.m.
NER Named-entity recognition batch_69a2f119b14c8190a5a6b119579c2682 completed Feb. 28, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4c02c26808190b3078fb04f34572c completed March 1, 2026, 10:39 p.m.
NEDg Description generation batch_69a4c0b0868881909e28d253c2971618 completed March 1, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69a4c131bd8881909501843d85145979 completed March 1, 2026, 10:44 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.