Triple
T17732760
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hermopolitan Ogdoad |
E442627
|
entity |
| Predicate | member |
P10
|
FINISHED |
| Object |
Kauket
Kauket is an ancient Egyptian goddess personifying primordial darkness and night, worshipped as part of the Hermopolitan Ogdoad.
|
E1285064
|
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: Kauket | Statement: [Hermopolitan Ogdoad, member, Kauket]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kauket Context triple: [Hermopolitan Ogdoad, member, Kauket]
-
A.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
B.
Kestoi
Kestoi is an ancient work attributed to the early Christian scholar Julius Africanus, likely dealing with a collection of miscellaneous or learned topics.
-
C.
Kuortane
Kuortane is a rural municipality in western Finland known for its lakeside landscapes and its national sports training center.
-
D.
Nekede
Nekede is a suburban community in Imo State, Nigeria, known for hosting the Federal Polytechnic Nekede and lying on the outskirts of the city of Owerri.
-
E.
Khaput
Khaput is a lesser-known language variety associated with the Khaput community, likely spoken in a specific local or regional context.
- 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: Kauket Triple: [Hermopolitan Ogdoad, member, Kauket]
Generated description
Kauket is an ancient Egyptian goddess personifying primordial darkness and night, worshipped as part of the Hermopolitan Ogdoad.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kauket Target entity description: Kauket is an ancient Egyptian goddess personifying primordial darkness and night, worshipped as part of the Hermopolitan Ogdoad.
-
A.
Kaiten
Kaiten was a Japanese warship that took part in the late-19th-century Boshin War naval engagements, including the Battle of Hakodate.
-
B.
Kestoi
Kestoi is an ancient work attributed to the early Christian scholar Julius Africanus, likely dealing with a collection of miscellaneous or learned topics.
-
C.
Kuortane
Kuortane is a rural municipality in western Finland known for its lakeside landscapes and its national sports training center.
-
D.
Nekede
Nekede is a suburban community in Imo State, Nigeria, known for hosting the Federal Polytechnic Nekede and lying on the outskirts of the city of Owerri.
-
E.
Khaput
Khaput is a lesser-known language variety associated with the Khaput community, likely spoken in a specific local or regional context.
- 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_69d8b9ec79688190b86bdcef85a7b3aa |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e478e86f188190a5dd7fb32fd04c7b |
completed | April 19, 2026, 6:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0242f577ac8190bc6c258ed79c0f3f |
completed | May 11, 2026, 8:58 p.m. |
| NEDg | Description generation | batch_6a024432dae081908718b4d9fa156858 |
completed | May 11, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0244ad73388190b5b99ccbbd357d77 |
completed | May 11, 2026, 9:05 p.m. |
Created at: April 10, 2026, 10:08 a.m.