Triple
T7237854
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Njuká |
E155275
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object |
Djuka
Djuka, also known as Njuká, refers to a Maroon ethnic group in Suriname descended from escaped African slaves, with a distinct language and culture.
|
E650703
|
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: Djuka | Statement: [Njuká, hasAlternativeName, Djuka]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Djuka Context triple: [Njuká, hasAlternativeName, Djuka]
-
A.
Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
-
B.
Djugu
Djugu is a town and administrative center in northeastern Democratic Republic of the Congo, located within the conflict-affected Ituri region.
-
C.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
D.
Neša
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
-
E.
Erceg
Erceg is a surname most notably associated with New Zealand footballer Abby Erceg.
- 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: Djuka Triple: [Njuká, hasAlternativeName, Djuka]
Generated description
Djuka, also known as Njuká, refers to a Maroon ethnic group in Suriname descended from escaped African slaves, with a distinct language and culture.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Djuka Target entity description: Djuka, also known as Njuká, refers to a Maroon ethnic group in Suriname descended from escaped African slaves, with a distinct language and culture.
-
A.
Ilija
Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
-
B.
Djugu
Djugu is a town and administrative center in northeastern Democratic Republic of the Congo, located within the conflict-affected Ituri region.
-
C.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
D.
Neša
Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
-
E.
Erceg
Erceg is a surname most notably associated with New Zealand footballer Abby Erceg.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea368fb88190bd9e991e8b94dac6 |
completed | March 27, 2026, 8:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc381a4081909a8ea7ee02348328 |
completed | March 28, 2026, 12:40 p.m. |
| NEDg | Description generation | batch_69c7cda71c088190afe117d8d3ff04ab |
completed | March 28, 2026, 12:46 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7ce1b5e0081908d8e68fb1c0bfd3e |
completed | March 28, 2026, 12:48 p.m. |
Created at: March 27, 2026, 2:55 p.m.