Triple
T17049444
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Šolta |
E413653
|
entity |
| Predicate | hasTouristAttraction |
P530
|
FINISHED |
| Object | Nečujam |
E1248372
|
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: Nečujam | Statement: [Šolta, hasTouristAttraction, Nečujam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nečujam Context triple: [Šolta, hasTouristAttraction, Nečujam]
-
A.
Nečujam
chosen
Nečujam is a small coastal village and popular holiday resort on the island of Šolta in Croatia, known for its tranquil bays and clear Adriatic waters.
-
B.
Nekede
Nekede is a suburban community in Imo State, Nigeria, known for hosting the Federal Polytechnic Nekede and lying on the outskirts of the city of Owerri.
-
C.
Nagode
"Nagode" is a popular Afro-pop song by Nigerian singer Yemi Alade, known for its catchy melody and blend of contemporary and African musical elements.
-
D.
Nečas
Nečas is a Czech surname most notably borne by Petr Nečas, a former Prime Minister of the Czech Republic.
-
E.
Nezvěstice
Nezvěstice is a village and municipality in the Plzeň Region of the Czech Republic, known for its location in the Úslava River valley.
- 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_69d886cde3d481908d4d01ba88ba7eb7 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3daa092f08190a9e37404a9de662c |
completed | April 18, 2026, 7:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a012ed60d3481909c8144bcb01316a1 |
completed | May 11, 2026, 1:20 a.m. |
Created at: April 10, 2026, 5:34 a.m.