Triple
T6329533
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zadar Channel |
E141942
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Preko |
E573944
|
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: Preko | Statement: [Zadar Channel, hasNearbySettlement, Preko]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Preko Context triple: [Zadar Channel, hasNearbySettlement, Preko]
-
A.
Preko
chosen
Preko is a coastal village and popular tourist municipality located on the island of Ugljan in Croatia’s Zadar County.
-
B.
Povljana
Povljana is a coastal municipality and tourist settlement on the island of Pag in Croatia, known for its beaches and Mediterranean landscape.
-
C.
Peille
Peille is a historic hilltop village in southeastern France, known for its medieval architecture and panoramic views over the Alpes-Maritimes region.
-
D.
Paraćin
Paraćin is a town in central Serbia known as an industrial and transportation hub in the Pomoravlje region.
-
E.
Pravonín
Pravonín is a small municipality and village in the Central Bohemian Region of the Czech Republic.
- 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_69c008d201748190917e69c41ba3f978 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c0651334c08190a9514faa36e7812d |
completed | March 22, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c604154a1c8190b09e74cea2a18624 |
completed | March 27, 2026, 4:14 a.m. |
Created at: March 22, 2026, 4:30 p.m.