Triple
T23062508
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slovenes |
E574941
|
entity |
| Predicate | culturalSymbol |
P958
|
FINISHED |
| Object | Triglav |
—
|
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: Triglav | Statement: [Slovenes, culturalSymbol, Triglav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triglav Context triple: [Slovenes, culturalSymbol, Triglav]
-
A.
Triglav
Triglav is a major Slavic deity often depicted with three heads, symbolizing dominion over the heavens, earth, and underworld.
-
B.
Mount Triglav
chosen
Mount Triglav is Slovenia’s highest and most iconic mountain, a national symbol featured on the country’s coat of arms and flag.
-
C.
Skradinski buk
Skradinski buk is a famous large cascading waterfall on Croatia’s Krka River, renowned for its scenic pools and lush surroundings within Krka National Park.
-
D.
Turska gora
Turska gora is a prominent mountain peak in northern Slovenia known for its rugged alpine terrain and popular hiking and climbing routes.
-
E.
Jahorina
Jahorina is a prominent mountain in Bosnia and Herzegovina, best known as a major ski resort area and former venue for the 1984 Winter Olympics.
- 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_69e245bd6e4c8190bb8942245b68cad5 |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f189a0c3c881909f137ad511c216ac |
completed | April 29, 2026, 4:31 a.m. |
Created at: April 17, 2026, 3:55 p.m.