Triple
T20150633
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Andhra cuisine |
E491424
|
entity |
| Predicate | hasDish |
P17589
|
FINISHED |
| Object |
royyala iguru
Royyala iguru is a traditional Andhra-style prawn curry known for its spicy, richly spiced gravy and robust coastal flavors.
|
E1415220
|
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: royyala iguru | Statement: [Andhra cuisine, hasDish, royyala iguru]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: royyala iguru Context triple: [Andhra cuisine, hasDish, royyala iguru]
-
A.
Omukama of Bunyoro
The Omukama of Bunyoro is the traditional monarch and cultural leader of the Bunyoro Kingdom in western Uganda.
-
B.
Roi
Roi is a given name and surname used in various cultures, often derived from words meaning "king" or denoting leadership and prominence.
-
C.
Kinigi
Kinigi is a village in northern Rwanda that serves as the primary gateway and base for visitors exploring Volcanoes National Park and its mountain gorillas.
-
D.
Lubiri of Mengo
Lubiri of Mengo is the historic royal palace complex of the Kabaka, the king of Buganda, located in Mengo near Kampala, Uganda.
-
E.
Joqola
Joqola is the central protagonist of the 19th-century Georgian literary work "The Host and the Guest," around whom the narrative’s moral and cultural conflicts revolve.
- 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: royyala iguru Triple: [Andhra cuisine, hasDish, royyala iguru]
Generated description
Royyala iguru is a traditional Andhra-style prawn curry known for its spicy, richly spiced gravy and robust coastal flavors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: royyala iguru Target entity description: Royyala iguru is a traditional Andhra-style prawn curry known for its spicy, richly spiced gravy and robust coastal flavors.
-
A.
Omukama of Bunyoro
The Omukama of Bunyoro is the traditional monarch and cultural leader of the Bunyoro Kingdom in western Uganda.
-
B.
Roi
Roi is a given name and surname used in various cultures, often derived from words meaning "king" or denoting leadership and prominence.
-
C.
Kinigi
Kinigi is a village in northern Rwanda that serves as the primary gateway and base for visitors exploring Volcanoes National Park and its mountain gorillas.
-
D.
Lubiri of Mengo
Lubiri of Mengo is the historic royal palace complex of the Kabaka, the king of Buganda, located in Mengo near Kampala, Uganda.
-
E.
Joqola
Joqola is the central protagonist of the 19th-century Georgian literary work "The Host and the Guest," around whom the narrative’s moral and cultural conflicts revolve.
- 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_69da6265f8f0819080b29c752a574088 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e667a1c5848190975b17ab07251f8b |
completed | April 20, 2026, 5:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08346f7b708190b006704558b25a67 |
completed | May 16, 2026, 9:10 a.m. |
| NEDg | Description generation | batch_6a08357acba08190be9fcedf1ea0f19d |
completed | May 16, 2026, 9:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0836a5cfdc81908806d83acd257acd |
completed | May 16, 2026, 9:19 a.m. |
Created at: April 11, 2026, 11:33 p.m.