Triple
T10172560
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Annam |
E235365
|
entity |
| Predicate | localName |
P657
|
FINISHED |
| Object | Trung Kỳ |
E400828
|
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: Trung Kỳ | Statement: [Annam, localName, Trung Kỳ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trung Kỳ Context triple: [Annam, localName, Trung Kỳ]
-
A.
Trung Kỳ
chosen
Trung Kỳ was the central region of Vietnam under French colonial administration, historically known as Annam.
-
B.
Hòu Zhōu
Hòu Zhōu was the Chinese dynasty known in English as the Later Zhou, one of the Five Dynasties that ruled northern China in the 10th century.
-
C.
Mengu-Timur
Mengu-Timur was a 13th-century khan of the Golden Horde, a division of the Mongol Empire that ruled over parts of Eastern Europe and the Eurasian steppe.
-
D.
Old Hsiang
Old Hsiang is an early historical form of the Xiang Chinese language, spoken in parts of Hunan province before later modern dialect developments.
-
E.
Middelstum
Middelstum is a historic village in the Dutch province of Groningen, known for its old churches and traditional architecture.
- 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_69ca84ceafd0819085828600e11bed6b |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdec9f6dd8819081588600499165ee |
completed | April 2, 2026, 4:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d30101e3ec819095a587c0dae55f71 |
completed | April 6, 2026, 12:40 a.m. |
Created at: March 30, 2026, 9:10 p.m.