Triple
T1204137
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lake Velence |
E25848
|
entity |
| Predicate | hasShoreSettlement |
P16159
|
FINISHED |
| Object | Velence |
E137984
|
NE FINISHED |
How this triple was built (3 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: Velence | Statement: [Lake Velence, hasShoreSettlement, Velence]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Velence Context triple: [Lake Velence, hasShoreSettlement, Velence]
-
A.
Velence
chosen
Velence is a Hungarian town and popular resort destination on the shores of Lake Velence, known for its beaches, thermal waters, and recreational tourism.
-
B.
Donuzlav
Donuzlav is a deep-water lagoon and naval harbor in western Crimea that serves as a strategic base for Russian Black Sea naval operations.
-
C.
Shipki La
Shipki La is a high-altitude mountain pass on the India–China (Tibet) border in the Himalayas, serving as an important trade and transit route between the two countries.
-
D.
Savski Venac
Savski Venac is a central urban municipality of Belgrade, Serbia, known for its government institutions, major transport hubs, and historic neighborhoods.
-
E.
Czarna Góra
Czarna Góra is a village in southern Poland, known as a mountain resort area in the Tatra region.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasShoreSettlement Context triple: [Lake Velence, hasShoreSettlement, Velence]
-
A.
hasShoreFeature
Indicates that a shore or coastline possesses a specific physical or environmental feature.
-
B.
hasHumanSettlement
chosen
Indicates that a location or area contains or is the site of a human settlement, such as a town, village, or city.
-
C.
hasCityOnShore
Indicates that a city is located on or directly adjacent to the shore of a body of water.
-
D.
hasIsland
Indicates that one entity possesses, contains, or includes an island as part of its domain, territory, or structure.
-
E.
hasIslandNearby
Indicates that one location is situated close to an island in geographic space.
- F. None of above.
Provenance (4 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_69a4942b30f08190a91c60573e16b5ef |
completed | March 1, 2026, 7:31 p.m. |
| NER | Named-entity recognition | batch_69a4bdbf94188190991f63a84cc76b8a |
completed | March 1, 2026, 10:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac8a08e1a881908b3f3a41cc1fb010 |
completed | March 7, 2026, 8:26 p.m. |
| PD | Predicate disambiguation | batch_69a4bb5ed2b88190aab992913957e1cf |
completed | March 1, 2026, 10:19 p.m. |
Created at: March 1, 2026, 7:46 p.m.