Triple
T9499183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gagauzia |
E229090
|
entity |
| Predicate | capital |
P234
|
FINISHED |
| Object | Comrat |
E229091
|
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: Comrat | Statement: [Gagauzia, capital, Comrat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Comrat Context triple: [Gagauzia, capital, Comrat]
-
A.
Comrat
chosen
Comrat is the administrative and cultural center of the autonomous region of Gagauzia in southern Moldova, known for its Gagauz Turkic heritage and wine production.
-
B.
Bosconia
Bosconia is a Colombian town and municipality located in the Cesar Department, known as an important regional transport and agricultural center.
-
C.
Baneh
Baneh is a Kurdish-populated city in western Iran known as a commercial hub near the Iraqi border within Kurdistan Province.
-
D.
Gorcumer
A Gorcumer is a resident or native of the Dutch city of Gorinchem.
-
E.
Cuman
The Cumans were a nomadic Turkic people of the Eurasian steppe who played a major role in medieval Eastern European and Black Sea politics and warfare.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983a94c48190a7ddf95a953c4ecc |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d412a008190adc82e1e3d56d107 |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:56 p.m.