Triple
T16169819
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tartar |
E392404
|
entity |
| Predicate | capitalOf |
P204
|
FINISHED |
| Object | Tartar District |
—
|
NE NERFINISHED |
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: Tartar District | Statement: [Tartar, capitalOf, Tartar District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tartar District Context triple: [Tartar, capitalOf, Tartar District]
-
A.
Tartar District
chosen
Tartar District is an administrative region in Azerbaijan known for its location in the disputed Nagorno-Karabakh area and its history of conflict-related tensions.
-
B.
Piskent District
Piskent District is an administrative district located within the Tashkent Region of Uzbekistan.
-
C.
Kimrsky District
Kimrsky District is an administrative district in Tver Oblast, Russia, centered around the town of Kimry and encompassing the surrounding rural areas.
-
D.
Providensky District
Providensky District is a remote administrative district in Chukotka Autonomous Okrug in Russia, located in the far northeastern part of the country along the Bering Sea.
-
E.
Aldansky District
Aldansky District is an administrative district in the Sakha Republic (Yakutia), Russia, known for its vast territory, harsh climate, and significant mining and industrial activities centered around the town of Aldan.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d87f1d32208190942e4e499a80c18c |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e21eb6de30819083af54b50ae5ae51 |
completed | April 17, 2026, 11:51 a.m. |
Created at: April 10, 2026, 5:02 a.m.