Triple
T7542230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Vardar River |
E178306
|
entity |
| Predicate | flowsThroughCity |
P10456
|
FINISHED |
| Object | Gevgelija |
E427910
|
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: Gevgelija | Statement: [Vardar River, flowsThroughCity, Gevgelija]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gevgelija Context triple: [Vardar River, flowsThroughCity, Gevgelija]
-
A.
Gevgelija
chosen
Gevgelija is a town in southeastern North Macedonia near the Greek border, known for its warm climate, agriculture, and role as a key transport and trade hub.
-
B.
Ilijaš
Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
-
C.
Bosančica
Bosančica is a historical variant of the Cyrillic script that was used primarily in medieval Bosnia and neighboring regions for writing the Bosnian language.
-
D.
Maja Jezercë
Maja Jezercë is a prominent mountain peak in the Albanian Alps, known as one of the highest and most rugged summits in the Balkans.
-
E.
Konjšica
Konjšica is a small settlement in central Slovenia, notable as the place where renowned conductor Carlos Kleiber died.
- 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_69c69f2be3888190a6667a27f8f195e9 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f8762b048190a0b262f9cb3fe1b0 |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c84f1d1e148190be015c62ae1ea1e8 |
completed | March 28, 2026, 9:58 p.m. |
Created at: March 27, 2026, 3:48 p.m.