Triple
T11382370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | South Banat District |
E269627
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Plandiste
Plandiste is a small town and municipality in the South Banat region of Serbia, known for its agricultural surroundings and rural character.
|
E922447
|
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: Plandiste | Statement: [South Banat District, containsSettlement, Plandiste]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Plandiste Context triple: [South Banat District, containsSettlement, Plandiste]
-
A.
Plean
Plean is a small village in central Scotland, located within the Stirling council area.
-
B.
Planernaya
Planernaya is a Moscow Metro station that serves as the northwestern terminus of the Tagansko–Krasnopresnenskaya Line.
-
C.
Planitz
Planitz is a district within the city of Zwickau in the German state of Saxony, known historically for its mining and industrial heritage.
-
D.
Flandis
Flandis is a fictional character connected to Spyke, likely appearing in the same narrative or media universe.
-
E.
Plattner
Plattner is a German surname most prominently associated with Hasso Plattner, the billionaire co-founder of the software company SAP.
- 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: Plandiste Triple: [South Banat District, containsSettlement, Plandiste]
Generated description
Plandiste is a small town and municipality in the South Banat region of Serbia, known for its agricultural surroundings and rural character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Plandiste Target entity description: Plandiste is a small town and municipality in the South Banat region of Serbia, known for its agricultural surroundings and rural character.
-
A.
Plean
Plean is a small village in central Scotland, located within the Stirling council area.
-
B.
Planernaya
Planernaya is a Moscow Metro station that serves as the northwestern terminus of the Tagansko–Krasnopresnenskaya Line.
-
C.
Planitz
Planitz is a district within the city of Zwickau in the German state of Saxony, known historically for its mining and industrial heritage.
-
D.
Flandis
Flandis is a fictional character connected to Spyke, likely appearing in the same narrative or media universe.
-
E.
Plattner
Plattner is a German surname most prominently associated with Hasso Plattner, the billionaire co-founder of the software company SAP.
- 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_69d6aacca1048190b39dbbc2174616fa |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7fc34f1f0819082dd977313ee6070 |
completed | April 9, 2026, 7:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e556a99c8c8190b7439a548216e648 |
completed | April 19, 2026, 10:26 p.m. |
| NEDg | Description generation | batch_69e562c8fb948190be87cca65c3b74e1 |
completed | April 19, 2026, 11:18 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e56aaa5c9081909f89cfe6a8fc03f0 |
completed | April 19, 2026, 11:52 p.m. |
Created at: April 8, 2026, 9:34 p.m.