Triple
T15609565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Southern and Eastern Serbia region |
E375251
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Trgovište
Trgovište is a small municipality and town in southern Serbia, near the border with North Macedonia, known for its rural character and mountainous surroundings.
|
E1166960
|
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: Trgovište | Statement: [Southern and Eastern Serbia region, containsCity, Trgovište]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Trgovište Context triple: [Southern and Eastern Serbia region, containsCity, Trgovište]
-
A.
Titov trg
Titov trg is the main central square of Koper, Slovenia, known for its historic architecture and prominent civic buildings.
-
B.
Marijin trg
Marijin trg is the former name of Prešeren Square, the central and most famous public square in Ljubljana, Slovenia.
-
C.
Pazaryeri
Pazaryeri is a small town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
-
D.
Marktl
Marktl is a small Bavarian municipality best known as the birthplace of Pope Benedict XVI.
-
E.
Korenmarkt
Korenmarkt is a central square in Ghent, Belgium, known as a major social and cultural hub that hosts key events and gatherings.
- 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: Trgovište Triple: [Southern and Eastern Serbia region, containsCity, Trgovište]
Generated description
Trgovište is a small municipality and town in southern Serbia, near the border with North Macedonia, known for its rural character and mountainous surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Trgovište Target entity description: Trgovište is a small municipality and town in southern Serbia, near the border with North Macedonia, known for its rural character and mountainous surroundings.
-
A.
Titov trg
Titov trg is the main central square of Koper, Slovenia, known for its historic architecture and prominent civic buildings.
-
B.
Marijin trg
Marijin trg is the former name of Prešeren Square, the central and most famous public square in Ljubljana, Slovenia.
-
C.
Pazaryeri
Pazaryeri is a small town and district in northwestern Turkey known for its rural character and location within Bilecik Province.
-
D.
Marktl
Marktl is a small Bavarian municipality best known as the birthplace of Pope Benedict XVI.
-
E.
Korenmarkt
Korenmarkt is a central square in Ghent, Belgium, known as a major social and cultural hub that hosts key events and gatherings.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e8024948190a6c711f2e5c2aac4 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d76c108190aa3cae2d7e17c301 |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff57c304188190afa695ae88cf0234 |
completed | May 9, 2026, 3:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff5920436c81909addad5bb4566ae9 |
completed | May 9, 2026, 3:56 p.m. |
Created at: April 10, 2026, 4:13 a.m.