Triple
T15684587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dukagjin region |
E380163
|
entity |
| Predicate | hasValley |
P650
|
FINISHED |
| Object | Dukagjin Plain |
E1171633
|
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: Dukagjin Plain | Statement: [Dukagjin region, hasValley, Dukagjin Plain]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dukagjin Plain Context triple: [Dukagjin region, hasValley, Dukagjin Plain]
-
A.
Kosovo Plain
chosen
The Kosovo Plain is a large, fertile basin in central Kosovo that serves as one of the country’s main agricultural and population centers.
-
B.
Tirana plain
The Tirana plain is a lowland area in central Albania that encompasses the capital city of Tirana and serves as an important agricultural and urban region.
-
C.
Dukagjin region
The Dukagjin region is a historical and geographical area in western Kosovo, known for its mountainous landscapes, cultural heritage, and key cities such as Peć.
-
D.
Tokat Plain
Tokat Plain is a fertile agricultural lowland in north-central Turkey, known for its productive farmlands and its location along the Yeşilırmak River.
-
E.
Balkanabat
Balkanabat is a significant urban and administrative center in western Turkmenistan, known for serving as a regional hub for the country's oil and gas industry.
- 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_69d86d99e860819094b6957cde470f2c |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e04f31b5b881908e46ecd9fc6048ab |
completed | April 16, 2026, 2:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff756ffcc88190a72440c7b40711ff |
completed | May 9, 2026, 5:57 p.m. |
Created at: April 10, 2026, 4:44 a.m.