Triple
T7759093
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dinka |
E175971
|
entity |
| Predicate | hasNativeName |
P1435
|
FINISHED |
| Object | Thuɔŋjäŋ |
E323726
|
NE FINISHED |
How this triple was built (2 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: Thuɔŋjäŋ | Statement: [Dinka, hasNativeName, Thuɔŋjäŋ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thuɔŋjäŋ Context triple: [Dinka, hasNativeName, Thuɔŋjäŋ]
-
A.
Thuɔŋjäŋ
chosen
Thuɔŋjäŋ is the endonym used by its speakers for the Dinka language of South Sudan, a major Nilotic language of the region.
-
B.
Thaya
Thaya is a river in Central Europe that flows through Austria and the Czech Republic, forming part of the border between the two countries.
-
C.
Sairang
Sairang is a small town in the Indian state of Mizoram, known for its scenic riverside setting and role as a transport and trading hub near the state capital Aizawl.
-
D.
Tewai
Tewai is a settlement on the atoll of Tabiteuea in the island nation of Kiribati in the central Pacific Ocean.
-
E.
Tongelre
Tongelre is a district in the Dutch city of Eindhoven, known for its mix of residential neighborhoods, green spaces, and former industrial areas.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c6996180088190832e38e8d83ff54a |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c703de43d08190ac28bc17cd3e5ffa |
completed | March 27, 2026, 10:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8c7cf538c8190aa86c27fff42efb0 |
completed | March 29, 2026, 6:33 a.m. |
Created at: March 27, 2026, 4:09 p.m.