Triple
T8783294
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slavic mythology |
E208984
|
entity |
| Predicate | hasCoreDeity |
P7648
|
FINISHED |
| Object |
Triglav
Triglav is a major Slavic deity often depicted with three heads, symbolizing dominion over the heavens, earth, and underworld.
|
E757343
|
NE FINISHED |
How this triple was built (4 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: [Slavic mythology, hasCoreDeity, Triglav]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Triglav Context triple: [Slavic mythology, hasCoreDeity, Triglav]
-
A.
Mount Triglav
Mount Triglav is Slovenia’s highest and most iconic mountain, a national symbol featured on the country’s coat of arms and flag.
-
B.
Turska gora
Turska gora is a prominent mountain peak in northern Slovenia known for its rugged alpine terrain and popular hiking and climbing routes.
-
C.
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.
-
D.
Grossglockner
Grossglockner is the tallest mountain in Austria and a prominent peak of the Hohe Tauern range in the Central Eastern Alps.
-
E.
Sněžka
Sněžka is the highest mountain in the Czech Republic, located on the border with Poland in the Krkonoše range.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Triglav Triple: [Slavic mythology, hasCoreDeity, Triglav]
Generated description
Triglav is a major Slavic deity often depicted with three heads, symbolizing dominion over the heavens, earth, and underworld.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Triglav Target entity description: Triglav is a major Slavic deity often depicted with three heads, symbolizing dominion over the heavens, earth, and underworld.
-
A.
Mount Triglav
Mount Triglav is Slovenia’s highest and most iconic mountain, a national symbol featured on the country’s coat of arms and flag.
-
B.
Turska gora
Turska gora is a prominent mountain peak in northern Slovenia known for its rugged alpine terrain and popular hiking and climbing routes.
-
C.
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.
-
D.
Grossglockner
Grossglockner is the tallest mountain in Austria and a prominent peak of the Hohe Tauern range in the Central Eastern Alps.
-
E.
Sněžka
Sněžka is the highest mountain in the Czech Republic, located on the border with Poland in the Krkonoše range.
- F. None of above. chosen
Provenance (5 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_69ca836168108190bb43d3dc235c1f55 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5f72f4bc8190b85bd051d3db6881 |
completed | March 31, 2026, 11:57 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51f41eb081909124a5e74333a31d |
completed | April 3, 2026, 5:36 a.m. |
| NEDg | Description generation | batch_69cf55ec47f88190878724c4245410de |
completed | April 3, 2026, 5:53 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf5679f85c8190aebb19ad364fe202 |
completed | April 3, 2026, 5:56 a.m. |
Created at: March 30, 2026, 6:42 p.m.