Triple

T9404681
Position Surface form Disambiguated ID Type / Status
Subject The Queen of Shemakha E226555 entity
Predicate nationalityInFiction P15237 FINISHED
Object Shemakhan
Shemakhan is a fictional realm best known as the exotic homeland of the seductive Queen of Shemakha in Russian literature and opera.
E795924 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: Shemakhan | Statement: [The Queen of Shemakha, nationalityInFiction, Shemakhan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Shemakhan
Context triple: [The Queen of Shemakha, nationalityInFiction, Shemakhan]
  • A. Yozgat
    Yozgat is a city in central Turkey known for its location on the Anatolian plateau and its traditional Anatolian culture and history.
  • B. Zangezur
    Zangezur is a mountainous historical region in the South Caucasus, largely corresponding to today’s Syunik Province in southern Armenia and parts of neighboring territories.
  • C. Namangan
    Namangan is a major city in eastern Uzbekistan, known as an important cultural and economic center in the Fergana Valley.
  • D. Qamishli
    Qamishli is a predominantly Kurdish city in northeastern Syria that serves as a key cultural and political hub for Kurmanji-speaking Kurds.
  • E. Bulaq
    Bulaq is a historic district of Cairo, Egypt, known for its past role as a major port and commercial hub along the Nile.
  • 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: Shemakhan
Triple: [The Queen of Shemakha, nationalityInFiction, Shemakhan]
Generated description
Shemakhan is a fictional realm best known as the exotic homeland of the seductive Queen of Shemakha in Russian literature and opera.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Shemakhan
Target entity description: Shemakhan is a fictional realm best known as the exotic homeland of the seductive Queen of Shemakha in Russian literature and opera.
  • A. Yozgat
    Yozgat is a city in central Turkey known for its location on the Anatolian plateau and its traditional Anatolian culture and history.
  • B. Zangezur
    Zangezur is a mountainous historical region in the South Caucasus, largely corresponding to today’s Syunik Province in southern Armenia and parts of neighboring territories.
  • C. Namangan
    Namangan is a major city in eastern Uzbekistan, known as an important cultural and economic center in the Fergana Valley.
  • D. Qamishli
    Qamishli is a predominantly Kurdish city in northeastern Syria that serves as a key cultural and political hub for Kurmanji-speaking Kurds.
  • E. Bulaq
    Bulaq is a historic district of Cairo, Egypt, known for its past role as a major port and commercial hub along the Nile.
  • 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_69ca843170f88190800a8ab2b5fc568e completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51c125dc8190a6438cf0ee23e7a9 completed April 1, 2026, 5:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1013279d88190aac1d25cc6aeb1fb completed April 4, 2026, 12:16 p.m.
NEDg Description generation batch_69d101bf84548190a28e5f24aff265b1 completed April 4, 2026, 12:19 p.m.
NED2 Entity disambiguation (via description) batch_69d1025ebf5c8190914b682117b01827 completed April 4, 2026, 12:21 p.m.
Created at: March 30, 2026, 7:46 p.m.