Triple
T4477198
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ancient Egyptian religion |
E100036
|
entity |
| Predicate | hasConcept |
P531
|
FINISHED |
| Object |
heka
Heka is the ancient Egyptian concept of magic and divine power that permeated the cosmos and enabled gods and humans to influence reality.
|
E442624
|
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: heka | Statement: [Ancient Egyptian religion, hasConcept, heka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: heka Context triple: [Ancient Egyptian religion, hasConcept, heka]
-
A.
Hekari
Hekari is a regional dialect of the Kurmanji variety of the Kurdish language, spoken in parts of the Hakkari region.
-
B.
Hacha-Kekan
Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
-
C.
HEIA
HEIA is the stock ticker symbol for Heineken N.V., the multinational Dutch brewing company best known for its Heineken beer brand.
-
D.
Hechi
Hechi is a prefecture-level city in northwestern Guangxi, China, known for its karst landscapes, ethnic diversity, and rich mineral resources.
-
E.
Halawa
Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
- 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: heka Triple: [Ancient Egyptian religion, hasConcept, heka]
Generated description
Heka is the ancient Egyptian concept of magic and divine power that permeated the cosmos and enabled gods and humans to influence reality.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: heka Target entity description: Heka is the ancient Egyptian concept of magic and divine power that permeated the cosmos and enabled gods and humans to influence reality.
-
A.
Hekari
Hekari is a regional dialect of the Kurmanji variety of the Kurdish language, spoken in parts of the Hakkari region.
-
B.
Hacha-Kekan
Hacha-Kekan is a traditional cultural festival of the Karbi people that showcases their indigenous rituals, music, dance, and communal celebrations.
-
C.
HEIA
HEIA is the stock ticker symbol for Heineken N.V., the multinational Dutch brewing company best known for its Heineken beer brand.
-
D.
Hechi
Hechi is a prefecture-level city in northwestern Guangxi, China, known for its karst landscapes, ethnic diversity, and rich mineral resources.
-
E.
Halawa
Halawa is a residential and industrial valley community in Honolulu County, Hawaii, known for landmarks such as Aloha Stadium and Pearl Harbor’s eastern shores.
- 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_69b34553cbe48190afa8ac1cac285b86 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b356d8600c8190a8b812889c50f144 |
completed | March 13, 2026, 12:14 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b6288434188190a23c48267f55ce1e |
completed | March 15, 2026, 3:33 a.m. |
| NEDg | Description generation | batch_69b62c7f847c81908335cef514f402ee |
completed | March 15, 2026, 3:50 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b62d248a2881908a314a8919c7648e |
completed | March 15, 2026, 3:53 a.m. |
Created at: March 12, 2026, 11:35 p.m.