Triple
T18070457
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bērzaune |
E432412
|
entity |
| Predicate | hasHighestPointNearby |
P210
|
FINISHED |
| Object | Gaiziņkalns |
—
|
NE NERFINISHED |
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: Gaiziņkalns | Statement: [Bērzaune, hasHighestPointNearby, Gaiziņkalns]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gaiziņkalns Context triple: [Bērzaune, hasHighestPointNearby, Gaiziņkalns]
-
A.
Gaiziņkalns
chosen
Gaiziņkalns is a hill in central Latvia that serves as the country's highest natural elevation and a popular spot for hiking and winter sports.
-
B.
Mount Riga
Mount Riga is a scenic, forested highland area in northwestern Connecticut known for its hiking trails, lakes, and historic iron industry sites.
-
C.
Spittelberg
Spittelberg is a historic, village-like quarter in Vienna known for its preserved Biedermeier architecture, narrow cobblestone streets, and popular Christmas market.
-
D.
Mount Karpinsky
Mount Karpinsky is a prominent peak in the Ural Mountains of Russia, known as one of the higher summits in the range and a notable destination for mountaineers and hikers.
-
E.
Esja mountain
Esja mountain is a prominent volcanic mountain range near Reykjavík, Iceland, known for its distinctive flat-topped profile and popularity as a hiking destination.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9070cac81909fa9473fb1c3f1c7 |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e4cced29fc81908e87b4f1990fa0d8 |
completed | April 19, 2026, 12:39 p.m. |
Created at: April 10, 2026, 10:26 a.m.