Triple
T13116670
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Central Serbia |
E311110
|
entity |
| Predicate | containsMountain |
P10602
|
FINISHED |
| Object |
Zlatibor
Zlatibor is a popular mountainous region and tourist destination in western Serbia, known for its scenic landscapes, ski resorts, and health tourism.
|
E1026089
|
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: Zlatibor | Statement: [Central Serbia, containsMountain, Zlatibor]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zlatibor Context triple: [Central Serbia, containsMountain, Zlatibor]
-
A.
Berane
Berane is a town and municipality in northeastern Montenegro, situated in the Lim River valley and serving as a regional economic and cultural center.
-
B.
Doboj
Doboj is a city in northern Bosnia and Herzegovina known as a key transport hub and strategic crossroads on the Bosna River.
-
C.
Vršac
Vršac is a town in northeastern Serbia known for its wine production, historic Vršac Castle, and location near the Romanian border.
-
D.
Pljevlja
Pljevlja is a northern Montenegrin town known as one of the main urban and economic centers of the Sandžak region.
-
E.
Nikšić
Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
- 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: Zlatibor Triple: [Central Serbia, containsMountain, Zlatibor]
Generated description
Zlatibor is a popular mountainous region and tourist destination in western Serbia, known for its scenic landscapes, ski resorts, and health tourism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zlatibor Target entity description: Zlatibor is a popular mountainous region and tourist destination in western Serbia, known for its scenic landscapes, ski resorts, and health tourism.
-
A.
Berane
Berane is a town and municipality in northeastern Montenegro, situated in the Lim River valley and serving as a regional economic and cultural center.
-
B.
Doboj
Doboj is a city in northern Bosnia and Herzegovina known as a key transport hub and strategic crossroads on the Bosna River.
-
C.
Vršac
Vršac is a town in northeastern Serbia known for its wine production, historic Vršac Castle, and location near the Romanian border.
-
D.
Pljevlja
Pljevlja is a northern Montenegrin town known as one of the main urban and economic centers of the Sandžak region.
-
E.
Nikšić
Nikšić is one of the largest cities in Montenegro, known as an important industrial, cultural, and educational center of the country.
- 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_69d806a872d08190a329806f8ff30df4 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98182011c8190a504678affbb7787 |
completed | April 10, 2026, 11:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6f5d205408190883b67739d5efaa7 |
completed | May 3, 2026, 7:14 a.m. |
| NEDg | Description generation | batch_69f6f6e10f2481909b405169dd7e5cf9 |
completed | May 3, 2026, 7:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6f73b301881909d792dfebd2e468f |
completed | May 3, 2026, 7:20 a.m. |
Created at: April 9, 2026, 9:06 p.m.