Triple
T6494981
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zemun |
E148133
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Zemun Quay |
E555690
|
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: Zemun Quay | Statement: [Zemun, hasLandmark, Zemun Quay]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zemun Quay Context triple: [Zemun, hasLandmark, Zemun Quay]
-
A.
Port of Belgrade
chosen
The Port of Belgrade is a major river port and logistics hub in Serbia’s capital, serving cargo and passenger traffic along the Danube and Sava rivers.
-
B.
Port of Herceg Novi
The Port of Herceg Novi is a coastal maritime facility in the Bay of Kotor, Montenegro, serving local passenger, leisure, and small commercial vessels.
-
C.
Port of Kotor
The Port of Kotor is a coastal harbor and cruise ship terminal in the historic town of Kotor, Montenegro, serving as a key maritime gateway for tourism in the Adriatic.
-
D.
Port of Tivat
Port of Tivat is a coastal harbor and marina town in Montenegro, known for its yachting facilities and location along the Adriatic Sea.
-
E.
Port of Osijek
The Port of Osijek is an inland river port on the Drava River in eastern Croatia that serves as a regional hub for cargo transport and trade.
- 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_69c009088f3081909cd467b05919de30 |
completed | March 22, 2026, 3:21 p.m. |
| NER | Named-entity recognition | batch_69c06ab7c0b8819091437a293b40dfd2 |
completed | March 22, 2026, 10:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c653c21f948190989da451bc573b4d |
completed | March 27, 2026, 9:54 a.m. |
Created at: March 22, 2026, 4:53 p.m.