Triple
T16579559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Augustan wars |
E402798
|
entity |
| Predicate | hasLocation |
P40
|
FINISHED |
| Object | Vardar valley |
E672788
|
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: Vardar valley | Statement: [Augustan wars, hasLocation, Vardar valley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vardar valley Context triple: [Augustan wars, hasLocation, Vardar valley]
-
A.
Vardar Valley
chosen
Vardar Valley is a geographical region in the Balkans formed along the course of the Vardar River, known for its fertile plains and strategic transportation corridor.
-
B.
Vardar River
The Vardar River is the longest and most significant river in North Macedonia, flowing through major cities including Skopje before continuing into Greece and emptying into the Aegean Sea.
-
C.
Yenice-i Vardar
Yenice-i Vardar is the former Ottoman-era name of the Greek town of Giannitsa, an important settlement in northern Greece.
-
D.
Kresna
Kresna is a small town in southwestern Bulgaria known for its proximity to the scenic Kresna Gorge and the Struma River.
-
E.
Vrbas
Vrbas is a town and municipality in the Bačka region of northern Serbia, known as a local administrative, industrial, and transportation center.
- 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_69d88387363c8190a97a0c942130de97 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3595f9be88190b01ba628ecf1103d |
completed | April 18, 2026, 10:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a006eee7e4881908a529717bc449078 |
completed | May 10, 2026, 11:41 a.m. |
Created at: April 10, 2026, 5:16 a.m.