Triple
T8683521
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gurandukht (Cuman princess) |
E206095
|
entity |
| Predicate | ethnicOrigin |
P194
|
FINISHED |
| Object |
Cuman
The Cumans were a nomadic Turkic people of the Eurasian steppe who played a major role in medieval Eastern European and Black Sea politics and warfare.
|
E751262
|
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: Cuman | Statement: [Gurandukht (Cuman princess), ethnicOrigin, Cuman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cuman Context triple: [Gurandukht (Cuman princess), ethnicOrigin, Cuman]
-
A.
Dondo
Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
-
B.
Comrat
Comrat is the administrative and cultural center of the autonomous region of Gagauzia in southern Moldova, known for its Gagauz Turkic heritage and wine production.
-
C.
Cimbom
Cimbom is a popular nickname for the Turkish football club Galatasaray S.K., widely used by its fans and in Turkish sports culture.
-
D.
Waras
Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
-
E.
Koman
Koman is a small language family of northeastern Africa whose member languages are spoken primarily in border regions of Ethiopia and Sudan.
- 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: Cuman Triple: [Gurandukht (Cuman princess), ethnicOrigin, Cuman]
Generated description
The Cumans were a nomadic Turkic people of the Eurasian steppe who played a major role in medieval Eastern European and Black Sea politics and warfare.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cuman Target entity description: The Cumans were a nomadic Turkic people of the Eurasian steppe who played a major role in medieval Eastern European and Black Sea politics and warfare.
-
A.
Dondo
Dondo is an Austronesian language spoken in Central Sulawesi, Indonesia, belonging to the Tomini–Tolitoli subgroup.
-
B.
Comrat
Comrat is the administrative and cultural center of the autonomous region of Gagauzia in southern Moldova, known for its Gagauz Turkic heritage and wine production.
-
C.
Cimbom
Cimbom is a popular nickname for the Turkish football club Galatasaray S.K., widely used by its fans and in Turkish sports culture.
-
D.
Waras
Waras is a significant town in Afghanistan’s central highland region of Hazarajat, serving as an important local hub for the surrounding Hazara communities.
-
E.
Koman
Koman is a small language family of northeastern Africa whose member languages are spoken primarily in border regions of Ethiopia and Sudan.
- 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_69ca835379688190aa06b9d98e684d58 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4ae9da3c8190866e24970a7aeba3 |
completed | March 31, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cef3c3c74c81908cd9e881d5963492 |
completed | April 2, 2026, 10:54 p.m. |
| NEDg | Description generation | batch_69cef521010081908815779c0bd2aac9 |
completed | April 2, 2026, 11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cef727ea088190bf40eaf5424ae864 |
completed | April 2, 2026, 11:09 p.m. |
Created at: March 30, 2026, 6:32 p.m.