Triple
T5409584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Handen |
E120978
|
entity |
| Predicate | hasNearbyLake |
P17985
|
FINISHED |
| Object |
Nedre Rudan
Nedre Rudan is a small lake and popular outdoor recreation area in Haninge Municipality, south of Stockholm, Sweden.
|
E517903
|
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: Nedre Rudan | Statement: [Handen, hasNearbyLake, Nedre Rudan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nedre Rudan Context triple: [Handen, hasNearbyLake, Nedre Rudan]
-
A.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
B.
Ilijaš
Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
-
C.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
D.
Orebić
Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
-
E.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
- 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: Nedre Rudan Triple: [Handen, hasNearbyLake, Nedre Rudan]
Generated description
Nedre Rudan is a small lake and popular outdoor recreation area in Haninge Municipality, south of Stockholm, Sweden.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nedre Rudan Target entity description: Nedre Rudan is a small lake and popular outdoor recreation area in Haninge Municipality, south of Stockholm, Sweden.
-
A.
Dudinka
Dudinka is a remote Arctic port town in northern Siberia, Russia, serving as a key shipping hub on the Yenisei River and gateway to the Norilsk industrial region.
-
B.
Ilijaš
Ilijaš is a town and municipality in central Bosnia and Herzegovina, situated northwest of Sarajevo and known for its industrial heritage and surrounding hilly landscape.
-
C.
Ravanica
Ravanica is a river in central Serbia that flows through the region before joining the Velika Morava.
-
D.
Orebić
Orebić is a coastal town on Croatia’s Pelješac Peninsula, known as a popular ferry gateway to the island of Korčula and for its beaches and maritime heritage.
-
E.
Morača
Morača is a major river in Montenegro that flows through the capital city of Podgorica before emptying into Lake Skadar.
- 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_69bd46391c0c81909fa484446732b6a3 |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd8796a420819092c1771407cd1a5d |
completed | March 20, 2026, 5:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf339e02dc8190bb2ca6e0a0ef4621 |
completed | March 22, 2026, 12:11 a.m. |
| NEDg | Description generation | batch_69bf34b0e22c819091aefd30a5e5a13d |
completed | March 22, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69bf35442cf481908053d3645e6e9968 |
completed | March 22, 2026, 12:18 a.m. |
Created at: March 20, 2026, 2:05 p.m.