Triple
T8989371
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Huni |
E214748
|
entity |
| Predicate | hasVariantTransliteration |
P5923
|
FINISHED |
| Object |
Huny
Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
|
E772101
|
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: Huny | Statement: [Huni, hasVariantTransliteration, Huny]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Huny Context triple: [Huni, hasVariantTransliteration, Huny]
-
A.
Hunza
Hunza is a mountainous valley and popular tourist destination in northern Pakistan, renowned for its dramatic Karakoram scenery and traditionally long-lived local population.
-
B.
Hunza
Hunza was the principal city and political center of the Zaque rulers within the pre-Columbian Muisca Confederation in what is now central Colombia.
-
C.
Hawniyaz
Hawniyaz is a collaborative album blending Kurdish folk music with contemporary classical and improvisational elements, featuring virtuoso kamancheh player Kayhan Kalhor and other prominent Kurdish musicians.
-
D.
Enying
Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
-
E.
Horki
Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
- 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: Huny Triple: [Huni, hasVariantTransliteration, Huny]
Generated description
Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Huny Target entity description: Huny is an alternative transliteration of Huni, an ancient Egyptian pharaoh of the Third Dynasty.
-
A.
Hunza
Hunza is a mountainous valley and popular tourist destination in northern Pakistan, renowned for its dramatic Karakoram scenery and traditionally long-lived local population.
-
B.
Hunza
Hunza was the principal city and political center of the Zaque rulers within the pre-Columbian Muisca Confederation in what is now central Colombia.
-
C.
Hawniyaz
Hawniyaz is a collaborative album blending Kurdish folk music with contemporary classical and improvisational elements, featuring virtuoso kamancheh player Kayhan Kalhor and other prominent Kurdish musicians.
-
D.
Enying
Enying is a small town in central Hungary known for its agricultural surroundings and location within Fejér County.
-
E.
Horki
Horki is a town in eastern Belarus known for its agricultural academy and regional administrative significance.
- 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_69ca839f76bc8190a4b7123cdd682199 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc687205c88190a4cdf12ee2cdfd14 |
completed | April 1, 2026, 12:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfd0c58c94819095979b82a50cb77d |
completed | April 3, 2026, 2:37 p.m. |
| NEDg | Description generation | batch_69cfd1a32a64819090d423a99ab75362 |
completed | April 3, 2026, 2:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfd250593881908312200ba7bba617 |
completed | April 3, 2026, 2:44 p.m. |
Created at: March 30, 2026, 7:04 p.m.