Triple
T13672278
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zuchu |
E327779
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Jaro
Jaro is a popular song by Tanzanian singer Zuchu, known for its catchy Bongo Flava style and wide acclaim in East Africa.
|
E1053025
|
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: Jaro | Statement: [Zuchu, notableWork, Jaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jaro Context triple: [Zuchu, notableWork, Jaro]
-
A.
Jaro
Jaro is a historic district and former town in Iloilo, Philippines, known for its old churches, ancestral houses, and cultural heritage.
-
B.
Malinska
Malinska is a coastal resort town and popular tourist destination on the island of Krk in Croatia, known for its beaches and Mediterranean atmosphere.
-
C.
Myślibórz
Myślibórz is a small historic town in northwestern Poland known for its medieval architecture and picturesque lakes.
-
D.
Chełmek
Chełmek is a small town in southern Poland known historically for its shoe industry and its location near Oświęcim (Auschwitz).
-
E.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
- 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: Jaro Triple: [Zuchu, notableWork, Jaro]
Generated description
Jaro is a popular song by Tanzanian singer Zuchu, known for its catchy Bongo Flava style and wide acclaim in East Africa.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jaro Target entity description: Jaro is a popular song by Tanzanian singer Zuchu, known for its catchy Bongo Flava style and wide acclaim in East Africa.
-
A.
Jaro
Jaro is a historic district and former town in Iloilo, Philippines, known for its old churches, ancestral houses, and cultural heritage.
-
B.
Malinska
Malinska is a coastal resort town and popular tourist destination on the island of Krk in Croatia, known for its beaches and Mediterranean atmosphere.
-
C.
Myślibórz
Myślibórz is a small historic town in northwestern Poland known for its medieval architecture and picturesque lakes.
-
D.
Chełmek
Chełmek is a small town in southern Poland known historically for its shoe industry and its location near Oświęcim (Auschwitz).
-
E.
Łeba
Łeba is a river in northern Poland that flows through the Pomeranian region to the Baltic Sea.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65aab348190a6611f5765f8392d |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f78b1222648190a70f50e6e5c34593 |
completed | May 3, 2026, 5:51 p.m. |
| NEDg | Description generation | batch_69f78c0030e481909c20f21ddaa480dc |
completed | May 3, 2026, 5:55 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f78d6d74bc8190ad5476a06e8fd8ad |
completed | May 3, 2026, 6:01 p.m. |
Created at: April 9, 2026, 9:53 p.m.