Triple
T15183983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kocani |
E362818
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object |
Vinica
Vinica is a small town and municipality in eastern North Macedonia, known for its historical heritage and proximity to the city of Kočani.
|
E1145279
|
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: Vinica | Statement: [Kocani, hasNearbySettlement, Vinica]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vinica Context triple: [Kocani, hasNearbySettlement, Vinica]
-
A.
Vranje
Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
-
B.
Dušica
Dušica was a medieval Serbian princess, the daughter of King Stefan Uroš III Dečanski of Serbia.
-
C.
Vukovica
Vukovica is the standardized orthography of the Serbo-Croatian language based on the phonemic spelling principles codified by linguist Vuk Karadžić.
-
D.
Leskovac
Leskovac is a city in southern Serbia known historically for its textile industry and its popular grilled meat (roštilj) festival.
-
E.
Vajna
Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
- 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: Vinica Triple: [Kocani, hasNearbySettlement, Vinica]
Generated description
Vinica is a small town and municipality in eastern North Macedonia, known for its historical heritage and proximity to the city of Kočani.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vinica Target entity description: Vinica is a small town and municipality in eastern North Macedonia, known for its historical heritage and proximity to the city of Kočani.
-
A.
Vranje
Vranje is a historic city in southern Serbia known for its Ottoman-era architecture, cultural heritage, and role as an administrative and economic center of the region.
-
B.
Dušica
Dušica was a medieval Serbian princess, the daughter of King Stefan Uroš III Dečanski of Serbia.
-
C.
Vukovica
Vukovica is the standardized orthography of the Serbo-Croatian language based on the phonemic spelling principles codified by linguist Vuk Karadžić.
-
D.
Leskovac
Leskovac is a city in southern Serbia known historically for its textile industry and its popular grilled meat (roštilj) festival.
-
E.
Vajna
Vajna is the surname of Andrew G. Vajna, a prominent Hungarian-American film producer known for co-founding Carolco Pictures and producing major action films such as the Rambo series.
- 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_69d85a09a39c81908759f23268e2d408 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006674c088190ba635a78c30f5637 |
completed | April 15, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fedd2a2eb48190a569847d2f583c61 |
completed | May 9, 2026, 7:07 a.m. |
| NEDg | Description generation | batch_69fedee3ede8819094678c15c0ff2876 |
completed | May 9, 2026, 7:14 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fedf72e6148190afbfbe92ed2ed277 |
completed | May 9, 2026, 7:17 a.m. |
Created at: April 10, 2026, 3:09 a.m.