Triple
T9363334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austro-Hungarian Navy |
E225332
|
entity |
| Predicate | mainBase |
P2909
|
FINISHED |
| Object | Cattaro |
E450140
|
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: Cattaro | Statement: [Austro-Hungarian Navy, mainBase, Cattaro]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cattaro Context triple: [Austro-Hungarian Navy, mainBase, Cattaro]
-
A.
Cattaro
chosen
Cattaro is the historical Italian name for the coastal town of Kotor in Montenegro, known for its well-preserved medieval old town and bay.
-
B.
Emden
Emden is a historic port city in northwestern Germany known for its maritime industry and location near the North Sea.
-
C.
Kotlas
Kotlas is a significant industrial and transport hub in northern Russia, located at the confluence of the Vychegda and Northern Dvina rivers.
-
D.
Alushta
Alushta is a resort town on the southern coast of Crimea, known for its beaches, mild climate, and role as a popular Black Sea tourist destination.
-
E.
Liman
Liman is a surname most notably associated with American film director and producer Doug Liman.
- 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_69ca842bdd648190904131d58620d448 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd503ddf8c81908b090afa54ec5e6d |
completed | April 1, 2026, 5:05 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0f3eaf2208190967a3a8e82a4070b |
completed | April 4, 2026, 11:20 a.m. |
Created at: March 30, 2026, 7:42 p.m.