Triple
T8114754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Soyembika Tower |
E189443
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Soyembika
Soyembika was a Tatar princess and regent of the Khanate of Kazan in the 16th century, remembered as a symbol of Tatar statehood and resistance.
|
E713201
|
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: Soyembika | Statement: [Soyembika Tower, namedAfter, Soyembika]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Soyembika Context triple: [Soyembika Tower, namedAfter, Soyembika]
-
A.
Sowams
Sowams was a principal Wampanoag village and homeland in present-day New England, historically significant as the seat of the sachem Massasoit and an early site of Native–Pilgrim interaction.
-
B.
Sorya
Sorya is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
-
C.
Kulisusu
Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, Indonesia.
-
D.
Sibhaca
Sibhaca is a vigorous traditional Swazi dance characterized by high kicking, rhythmic stomping, and powerful group performances often accompanied by chanting and drumming.
-
E.
Saisiyat
The Saisiyat are one of Taiwan’s indigenous Austronesian-speaking peoples, known for their distinctive culture and the legendary Pasta’ay (Dwarf) ritual.
- 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: Soyembika Triple: [Soyembika Tower, namedAfter, Soyembika]
Generated description
Soyembika was a Tatar princess and regent of the Khanate of Kazan in the 16th century, remembered as a symbol of Tatar statehood and resistance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Soyembika Target entity description: Soyembika was a Tatar princess and regent of the Khanate of Kazan in the 16th century, remembered as a symbol of Tatar statehood and resistance.
-
A.
Sowams
Sowams was a principal Wampanoag village and homeland in present-day New England, historically significant as the seat of the sachem Massasoit and an early site of Native–Pilgrim interaction.
-
B.
Sorya
Sorya is a regional dialect of the Kumaoni language spoken in parts of the Indian Himalayan region.
-
C.
Kulisusu
Kulisusu is a town and administrative center located in the province of Southeast Sulawesi, Indonesia.
-
D.
Sibhaca
Sibhaca is a vigorous traditional Swazi dance characterized by high kicking, rhythmic stomping, and powerful group performances often accompanied by chanting and drumming.
-
E.
Saisiyat
The Saisiyat are one of Taiwan’s indigenous Austronesian-speaking peoples, known for their distinctive culture and the legendary Pasta’ay (Dwarf) ritual.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb43308e0081909ea0463dabd74e4d |
completed | March 31, 2026, 3:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc943bdaa48190971bf57ae4fb5c21 |
completed | April 1, 2026, 3:42 a.m. |
| NEDg | Description generation | batch_69cc95586fc08190b16a1b0798ef6e31 |
completed | April 1, 2026, 3:47 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc96533cb88190b9c1fda1fc969cad |
completed | April 1, 2026, 3:51 a.m. |
Created at: March 30, 2026, 5:32 p.m.