Triple
T19991360
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lower Styria |
E494071
|
entity |
| Predicate | containsTown |
P847
|
FINISHED |
| Object |
Ormož
Ormož is a small town in northeastern Slovenia known for its wine-growing tradition and location near the Croatian border.
|
E1433674
|
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: Ormož | Statement: [Lower Styria, containsTown, Ormož]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ormož Context triple: [Lower Styria, containsTown, Ormož]
-
A.
Sevnica
Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
-
B.
Škofja Loka
Škofja Loka is a historic medieval town in northwestern Slovenia, known for its well-preserved old town, castle, and rich cultural heritage.
-
C.
Ajdovščina
Ajdovščina is a town in western Slovenia known for its location in the Vipava Valley, strong bora winds, and a mix of Roman heritage and modern industry.
-
D.
Gložan
Gložan is a village in the Vojvodina region of northern Serbia, known for its Slovak ethnic community and agricultural character.
-
E.
Kočevje
Kočevje is a town in southern Slovenia known for its surrounding dense forests, karst landscape, and historical German-speaking community.
- 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: Ormož Triple: [Lower Styria, containsTown, Ormož]
Generated description
Ormož is a small town in northeastern Slovenia known for its wine-growing tradition and location near the Croatian border.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ormož Target entity description: Ormož is a small town in northeastern Slovenia known for its wine-growing tradition and location near the Croatian border.
-
A.
Sevnica
Sevnica is a small town in central Slovenia known as the childhood home of former U.S. First Lady Melania Trump.
-
B.
Škofja Loka
Škofja Loka is a historic medieval town in northwestern Slovenia, known for its well-preserved old town, castle, and rich cultural heritage.
-
C.
Ajdovščina
Ajdovščina is a town in western Slovenia known for its location in the Vipava Valley, strong bora winds, and a mix of Roman heritage and modern industry.
-
D.
Gložan
Gložan is a village in the Vojvodina region of northern Serbia, known for its Slovak ethnic community and agricultural character.
-
E.
Kočevje
Kočevje is a town in southern Slovenia known for its surrounding dense forests, karst landscape, and historical German-speaking community.
- 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_69da626a67648190af9653832a3aeced |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e65fe00b908190bda6b9a3a3281ec0 |
completed | April 20, 2026, 5:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a089399e7b88190864e9000384d098f |
completed | May 16, 2026, 3:56 p.m. |
| NEDg | Description generation | batch_6a08943ff9b08190aa420d0d2f8d9723 |
completed | May 16, 2026, 3:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a089497f8fc81909e1ef6ace3d8336f |
completed | May 16, 2026, 4 p.m. |
Created at: April 11, 2026, 3:31 p.m.