Triple
T18477920
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Serbia and Montenegro |
E451479
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Italy (maritime border) |
—
|
NE NERFINISHED |
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: Italy (maritime border) | Statement: [Serbia and Montenegro, borderedBy, Italy (maritime border)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Italy (maritime border) Context triple: [Serbia and Montenegro, borderedBy, Italy (maritime border)]
-
A.
Itá
Itá is a small Paraguayan city located in the Central Department, known for its traditional ceramics and cultural heritage.
-
B.
Italia
Italia is a feminine given name, often inspired by the country of Italy and used in various cultures.
-
C.
Italy
chosen
Italy is a Southern European country known for its influential history, art, cuisine, and role as a founding member of the European Union.
-
D.
Italy
Italy is a small rural town in Yates County, New York, known for its agricultural landscape and location in the Finger Lakes region.
-
E.
Włochy
Włochy is a district in the southwestern part of Warsaw, Poland, known for its mix of residential areas, industrial zones, and major transport infrastructure including the city’s main airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d38465a0819099b9b42d2a662ac1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e53064a7548190b712a14ad0c7a477 |
completed | April 19, 2026, 7:43 p.m. |
Created at: April 10, 2026, 11:35 a.m.