Triple
T6194276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kvarner Gulf |
E138470
|
entity |
| Predicate | hasIsland |
P970
|
FINISHED |
| Object | Molat |
E573954
|
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: Molat | Statement: [Kvarner Gulf, hasIsland, Molat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molat Context triple: [Kvarner Gulf, hasIsland, Molat]
-
A.
Molat
chosen
Molat is a small Croatian island in the Adriatic Sea, known for its tranquil villages, clear waters, and relatively untouched natural landscapes within Zadar County.
-
B.
Melot
Melot is a minor but pivotal character in Richard Wagner’s opera "Tristan und Isolde," known for betraying Tristan and triggering the tragic climax of the story.
-
C.
Valleiry
Valleiry is a small French commune in the Haute-Savoie department of the Auvergne-Rhône-Alpes region in southeastern France, near the Swiss border.
-
D.
Monthélie
Monthélie is a small wine-producing village in Burgundy’s Côte de Beaune, known for its elegant red and white wines made primarily from Pinot Noir and Chardonnay.
-
E.
Berriane
Berriane is a town in Algeria known as part of the historic M’zab oasis region, characterized by its traditional architecture and Saharan environment.
- 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_69c008ab9b3081908a11b2c744838435 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c062443cec81909dc9bafea2f5e7d4 |
completed | March 22, 2026, 9:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c16f1c162081909cf34e827f1bd7d7 |
completed | March 23, 2026, 4:49 p.m. |
Created at: March 22, 2026, 4:19 p.m.