Triple
T8622998
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pelamushi |
E204212
|
entity |
| Predicate | relatedDish |
P19483
|
FINISHED |
| Object |
Churchkhela
Churchkhela is a traditional Georgian confection made by dipping strings of nuts into thickened grape must to form a chewy, sausage-shaped candy.
|
E747416
|
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: Churchkhela | Statement: [Pelamushi, relatedDish, Churchkhela]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Churchkhela Context triple: [Pelamushi, relatedDish, Churchkhela]
-
A.
Bethungra
Bethungra is a small rural locality in the Riverina region of New South Wales, Australia, known historically as a railway village near the Bethungra Spiral.
-
B.
Birtamode
Birtamode is a rapidly growing commercial town in eastern Nepal known as a key trade and transport hub of Jhapa District.
-
C.
Kalimpong
Kalimpong is a hill station and town in the eastern Himalayas of India, known for its scenic views, Buddhist monasteries, and colonial-era architecture.
-
D.
Keraniganj
Keraniganj is a suburban upazila of Dhaka, Bangladesh, known for its dense population, river-based commerce, and numerous garment and brick industries.
-
E.
Agargaon
Agargaon is a prominent residential and administrative neighborhood in Dhaka, Bangladesh, known for housing several government offices and institutions.
- 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: Churchkhela Triple: [Pelamushi, relatedDish, Churchkhela]
Generated description
Churchkhela is a traditional Georgian confection made by dipping strings of nuts into thickened grape must to form a chewy, sausage-shaped candy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Churchkhela Target entity description: Churchkhela is a traditional Georgian confection made by dipping strings of nuts into thickened grape must to form a chewy, sausage-shaped candy.
-
A.
Bethungra
Bethungra is a small rural locality in the Riverina region of New South Wales, Australia, known historically as a railway village near the Bethungra Spiral.
-
B.
Birtamode
Birtamode is a rapidly growing commercial town in eastern Nepal known as a key trade and transport hub of Jhapa District.
-
C.
Kalimpong
Kalimpong is a hill station and town in the eastern Himalayas of India, known for its scenic views, Buddhist monasteries, and colonial-era architecture.
-
D.
Keraniganj
Keraniganj is a suburban upazila of Dhaka, Bangladesh, known for its dense population, river-based commerce, and numerous garment and brick industries.
-
E.
Agargaon
Agargaon is a prominent residential and administrative neighborhood in Dhaka, Bangladesh, known for housing several government offices and institutions.
- 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_69ca834a4ea0819094970dceb9e389f3 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc4726aa208190a7c437645d554bc9 |
completed | March 31, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cebbe6a7e48190a166a31dccd8ac16 |
completed | April 2, 2026, 6:56 p.m. |
| NEDg | Description generation | batch_69cebe299de881909dcbb37b2b718201 |
completed | April 2, 2026, 7:06 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69cebedb7f0c8190be98ffec07ce6fbc |
completed | April 2, 2026, 7:09 p.m. |
Created at: March 30, 2026, 6:26 p.m.