Triple
T13590474
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Agen |
E324679
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Agen prunes
Agen prunes are renowned French dried plums prized for their rich, sweet flavor and use in both traditional cuisine and confectionery.
|
E1048726
|
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: Agen prunes | Statement: [Agen, knownFor, Agen prunes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Agen prunes Context triple: [Agen, knownFor, Agen prunes]
-
A.
Pectacon
Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
-
B.
Prye
Prye is an alternative transliteration of Pyay, a historic city in central Myanmar located on the Irrawaddy River.
-
C.
Bellprat
Bellprat is a small municipality in the Anoia comarca of Catalonia, Spain, known for its rural character and historic architecture.
-
D.
Prampram
Prampram is a coastal town in southern Ghana known for its beaches, fishing community, and growing role as a residential and recreational area near Accra.
-
E.
Pringi
Pringi is a small coastal village in northern Estonia, located within Viimsi Parish near the capital city of Tallinn.
- 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: Agen prunes Triple: [Agen, knownFor, Agen prunes]
Generated description
Agen prunes are renowned French dried plums prized for their rich, sweet flavor and use in both traditional cuisine and confectionery.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Agen prunes Target entity description: Agen prunes are renowned French dried plums prized for their rich, sweet flavor and use in both traditional cuisine and confectionery.
-
A.
Pectacon
Pectacon was the spice and pectin trading company in Amsterdam co-founded and managed by Otto Frank before and during the early years of World War II.
-
B.
Prye
Prye is an alternative transliteration of Pyay, a historic city in central Myanmar located on the Irrawaddy River.
-
C.
Bellprat
Bellprat is a small municipality in the Anoia comarca of Catalonia, Spain, known for its rural character and historic architecture.
-
D.
Prampram
Prampram is a coastal town in southern Ghana known for its beaches, fishing community, and growing role as a residential and recreational area near Accra.
-
E.
Pringi
Pringi is a small coastal village in northern Estonia, located within Viimsi Parish near the capital city of Tallinn.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb055cc98819091fab597b69e5e3e |
completed | April 12, 2026, 2:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f76bc347b881908267455f3bdd50e8 |
completed | May 3, 2026, 3:37 p.m. |
| NEDg | Description generation | batch_69f77642e4b881909915c686a0d6c6fa |
completed | May 3, 2026, 4:22 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f778f01700819099c3e9cbc84f29e4 |
completed | May 3, 2026, 4:33 p.m. |
Created at: April 9, 2026, 9:49 p.m.