Triple
T17049416
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Šolta |
E413653
|
entity |
| Predicate | hasSettlement |
P1068
|
FINISHED |
| Object | Grohote |
E1248371
|
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: Grohote | Statement: [Šolta, hasSettlement, Grohote]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grohote Context triple: [Šolta, hasSettlement, Grohote]
-
A.
Grohote
chosen
Grohote is the main village and administrative center of the Croatian island of Šolta in the Adriatic Sea.
-
B.
Verchota
Verchota is a surname most notably associated with Phil Verchota, an American ice hockey player and member of the 1980 "Miracle on Ice" U.S. Olympic team.
-
C.
Grobelny
Grobelny is a Polish surname most notably associated with Julian Grobelny, a resistance activist and rescuer of Jews during World War II.
-
D.
Gasterntal
Gasterntal is a remote alpine valley in the Bernese Oberland region of Switzerland, known for its dramatic mountain scenery, glaciers, and hiking trails.
-
E.
Grüsch
Grüsch is a Swiss municipality in the canton of Graubünden, situated in the alpine Prättigau valley and known as a gateway to nearby mountain and ski areas.
- 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.