Triple
T16591362
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ejei Khan |
E403093
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Ejei
Ejei was the last khan of the Northern Yuan dynasty, known for surrendering to the Qing and marking the end of Mongol imperial rule in Mongolia.
|
E1222488
|
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: Ejei | Statement: [Ejei Khan, alsoKnownAs, Ejei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ejei Context triple: [Ejei Khan, alsoKnownAs, Ejei]
-
A.
Yato
Yato is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
-
B.
Yekini
Yekini is the surname of Rashidi Yekini, the legendary Nigerian footballer best known as his country's all-time leading goal scorer.
-
C.
Ekuona
Ekuona is one of the traditional Akan clans of Ghana, recognized for its distinct lineage, symbols, and cultural roles within Akan society.
-
D.
Erieye
Erieye is an airborne early warning and control (AEW&C) radar system developed by Saab for long-range surveillance and airspace management.
-
E.
Nganzai
Nganzai is a local government area in Borno State, northeastern Nigeria, known for its rural communities and impact from the Boko Haram insurgency.
- 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: Ejei Triple: [Ejei Khan, alsoKnownAs, Ejei]
Generated description
Ejei was the last khan of the Northern Yuan dynasty, known for surrendering to the Qing and marking the end of Mongol imperial rule in Mongolia.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ejei Target entity description: Ejei was the last khan of the Northern Yuan dynasty, known for surrendering to the Qing and marking the end of Mongol imperial rule in Mongolia.
-
A.
Yato
Yato is a small village on Pukapuka Atoll in the Cook Islands, known for its traditional Polynesian community and remote Pacific island setting.
-
B.
Yekini
Yekini is the surname of Rashidi Yekini, the legendary Nigerian footballer best known as his country's all-time leading goal scorer.
-
C.
Ekuona
Ekuona is one of the traditional Akan clans of Ghana, recognized for its distinct lineage, symbols, and cultural roles within Akan society.
-
D.
Erieye
Erieye is an airborne early warning and control (AEW&C) radar system developed by Saab for long-range surveillance and airspace management.
-
E.
Nganzai
Nganzai is a local government area in Borno State, northeastern Nigeria, known for its rural communities and impact from the Boko Haram insurgency.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e359a012e081909a0604dde3c04bbb |
completed | April 18, 2026, 10:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00759b9e5081909815d2cd00d44490 |
completed | May 10, 2026, 12:10 p.m. |
| NEDg | Description generation | batch_6a007680bc7c81908c81ad690035ed47 |
completed | May 10, 2026, 12:13 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a007728680c819082a3bd7e84edb2b0 |
completed | May 10, 2026, 12:16 p.m. |
Created at: April 10, 2026, 5:16 a.m.