Triple
T22348966
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tartar River |
E552475
|
entity |
| Predicate | flowsThrough |
P225
|
FINISHED |
| Object | Yevlakh 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: Yevlakh District | Statement: [Tartar River, flowsThrough, Yevlakh District]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Yevlakh District Context triple: [Tartar River, flowsThrough, Yevlakh District]
-
A.
Yevlakh District
chosen
Yevlakh District is an administrative region in central Azerbaijan that encompasses the city of Yevlakh and surrounding rural areas.
-
B.
Mardyan District
Mardyan District is an administrative district located in Jowzjan Province in northern Afghanistan.
-
C.
Yasamal District
Yasamal District is a central administrative district of Baku, Azerbaijan, known for its dense urban development, residential neighborhoods, and key cultural and educational institutions.
-
D.
Nagorny District
Nagorny District is an administrative district (raion) of Moscow, Russia, known for its primarily residential character and location in the city’s Southern Administrative Okrug.
-
E.
Gadabay District
Gadabay District is an administrative region in western Azerbaijan known for its mountainous terrain, mineral resources, and historical sites.
- 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_69e11e4a0ad08190a385b4d343cf6524 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f1579a1c308190ae2174f99ae317ab |
completed | April 29, 2026, 12:58 a.m. |
Created at: April 16, 2026, 8:43 p.m.