Triple
T1154557
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Adriatic Sea |
E23753
|
entity |
| Predicate | hasMajorPort |
P942
|
FINISHED |
| Object | Durres |
E110160
|
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: Durres | Statement: [Adriatic Sea, hasMajorPort, Durres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Durres Context triple: [Adriatic Sea, hasMajorPort, Durres]
-
A.
Durrës
chosen
Durrës is a major port city on the Adriatic coast of Albania, historically significant as a strategic maritime gateway and one of the country’s oldest urban centers.
-
B.
Vlora
Vlora is a major coastal city and seaport in southwestern Albania, strategically located on the Adriatic Sea.
-
C.
Saranda
Saranda is a coastal city in southern Albania on the Ionian Sea, known for its strategic harbor and role in regional military and maritime history.
-
D.
Monastir
Monastir, known today as Bitola in North Macedonia, is a historic Balkan city that played a significant strategic role during World War I.
-
E.
Tirana
Tirana is the capital and largest city of Albania, serving as its political, economic, and cultural center in the Balkans.
- 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_69a493f0d32c8190ac74bad3c87f2641 |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4bc8fbb548190865b1bf019f2bde4 |
completed | March 1, 2026, 10:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac7f30222081909679902c6e0d4790 |
completed | March 7, 2026, 7:40 p.m. |
Created at: March 1, 2026, 7:44 p.m.