Triple
T13487838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Loggia Palace |
E318551
|
entity |
| Predicate | locatedOn |
P40
|
FINISHED |
| Object |
Titov trg
Titov trg is the main central square of Koper, Slovenia, known for its historic architecture and prominent civic buildings.
|
E1043622
|
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: Titov trg | Statement: [Loggia Palace, locatedOn, Titov trg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Titov trg Context triple: [Loggia Palace, locatedOn, Titov trg]
-
A.
Marijin trg
Marijin trg is the former name of Prešeren Square, the central and most famous public square in Ljubljana, Slovenia.
-
B.
Titov Vrv
Titov Vrv is a prominent mountain peak in the Balkans located on the Šar Mountains range in North Macedonia.
-
C.
Sretenje
Sretenje is a Serbian national holiday commemorating both the country's first constitution and the beginning of its struggle for independence from the Ottoman Empire.
-
D.
Korenmarkt
Korenmarkt is a central square in Ghent, Belgium, known as a major social and cultural hub that hosts key events and gatherings.
-
E.
Votroci
Votroci is the popular nickname of FC Hradec Králové, a Czech professional football club based in the city of Hradec Králové.
- 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: Titov trg Triple: [Loggia Palace, locatedOn, Titov trg]
Generated description
Titov trg is the main central square of Koper, Slovenia, known for its historic architecture and prominent civic buildings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Titov trg Target entity description: Titov trg is the main central square of Koper, Slovenia, known for its historic architecture and prominent civic buildings.
-
A.
Marijin trg
Marijin trg is the former name of Prešeren Square, the central and most famous public square in Ljubljana, Slovenia.
-
B.
Titov Vrv
Titov Vrv is a prominent mountain peak in the Balkans located on the Šar Mountains range in North Macedonia.
-
C.
Sretenje
Sretenje is a Serbian national holiday commemorating both the country's first constitution and the beginning of its struggle for independence from the Ottoman Empire.
-
D.
Korenmarkt
Korenmarkt is a central square in Ghent, Belgium, known as a major social and cultural hub that hosts key events and gatherings.
-
E.
Votroci
Votroci is the popular nickname of FC Hradec Králové, a Czech professional football club based in the city of Hradec Králové.
- 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_69d806b6bfec819089222715b2e86c8e |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf3b9b488190bb4e11424ff599c8 |
completed | April 12, 2026, 2:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f74638e2088190a126791f60b541c7 |
completed | May 3, 2026, 12:57 p.m. |
| NEDg | Description generation | batch_69f74cb6cae881909563983a38311db7 |
completed | May 3, 2026, 1:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f74d5389f08190826f0e550c8bb6c2 |
completed | May 3, 2026, 1:27 p.m. |
Created at: April 9, 2026, 9:42 p.m.