Triple
T6625869
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Menden |
E149798
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Balve
Balve is a small town in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known for its limestone caves and scenic Sauerland surroundings.
|
E608535
|
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: Balve | Statement: [Menden, locatedNear, Balve]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Balve Context triple: [Menden, locatedNear, Balve]
-
A.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
B.
Valldal
Valldal is a village in western Norway known for its scenic fjord landscape and strawberry farming, situated in the county of Møre og Romsdal.
-
C.
Risberg
Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
-
D.
Triberg
Triberg is a picturesque German town in the Black Forest, renowned for its towering waterfalls and traditional cuckoo clocks.
-
E.
Havelberg
Havelberg is a small historic town in Saxony-Anhalt, Germany, known for its medieval cathedral and location at the confluence of the Havel and Elbe rivers.
- 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: Balve Triple: [Menden, locatedNear, Balve]
Generated description
Balve is a small town in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known for its limestone caves and scenic Sauerland surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Balve Target entity description: Balve is a small town in the Märkischer Kreis district of North Rhine-Westphalia, Germany, known for its limestone caves and scenic Sauerland surroundings.
-
A.
Eidskog
Eidskog is a rural municipality in Innlandet county, Norway, known for its forests, lakes, and location along the Swedish border.
-
B.
Valldal
Valldal is a village in western Norway known for its scenic fjord landscape and strawberry farming, situated in the county of Møre og Romsdal.
-
C.
Risberg
Risberg is a Swedish surname borne by various notable individuals, including athletes and public figures.
-
D.
Triberg
Triberg is a picturesque German town in the Black Forest, renowned for its towering waterfalls and traditional cuckoo clocks.
-
E.
Havelberg
Havelberg is a small historic town in Saxony-Anhalt, Germany, known for its medieval cathedral and location at the confluence of the Havel and Elbe rivers.
- 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_69c687ee50048190aa151765bef16193 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af8187d881908b7a86f2cae5de23 |
completed | March 27, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eeeaa67881908bef71c5fa61c599 |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f09ffdd481909418ae33d1683486 |
completed | March 27, 2026, 9:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f159cbf08190a22d7488584b4580 |
completed | March 27, 2026, 9:06 p.m. |
Created at: March 27, 2026, 1:58 p.m.