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.