Triple
T5003675
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lage |
E112433
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object |
Laage
Laage is a small town in the Rostock district of Mecklenburg-Vorpommern in northern Germany, known for its proximity to Rostock–Laage Airport.
|
E487011
|
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: Laage | Statement: [Lage, hasVariant, Laage]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laage Context triple: [Lage, hasVariant, Laage]
-
A.
Soest
Soest is a Dutch town and municipality in the central Netherlands known for its green surroundings and proximity to the Utrechtse Heuvelrug.
-
B.
Soest
Soest is a historic town in North Rhine-Westphalia, Germany, known for its well-preserved medieval architecture and former significance as a Hanseatic trading center.
-
C.
Wilrijk
Wilrijk is a southern district of the Belgian city of Antwerp, known for its residential character and green spaces.
-
D.
Diemen
Diemen is a town and municipality in the province of North Holland in the Netherlands, located just southeast of Amsterdam.
-
E.
Langerak
Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
- 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: Laage Triple: [Lage, hasVariant, Laage]
Generated description
Laage is a small town in the Rostock district of Mecklenburg-Vorpommern in northern Germany, known for its proximity to Rostock–Laage Airport.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laage Target entity description: Laage is a small town in the Rostock district of Mecklenburg-Vorpommern in northern Germany, known for its proximity to Rostock–Laage Airport.
-
A.
Soest
Soest is a Dutch town and municipality in the central Netherlands known for its green surroundings and proximity to the Utrechtse Heuvelrug.
-
B.
Soest
Soest is a historic town in North Rhine-Westphalia, Germany, known for its well-preserved medieval architecture and former significance as a Hanseatic trading center.
-
C.
Wilrijk
Wilrijk is a southern district of the Belgian city of Antwerp, known for its residential character and green spaces.
-
D.
Diemen
Diemen is a town and municipality in the province of North Holland in the Netherlands, located just southeast of Amsterdam.
-
E.
Langerak
Langerak is a small village in the Dutch province of South Holland, known for its rural character and location along the Lek River.
- 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_69bd4433d0b08190877e83959ef40d81 |
completed | March 20, 2026, 12:57 p.m. |
| NER | Named-entity recognition | batch_69bd72e49b048190bac55d9e7a6f7963 |
completed | March 20, 2026, 4:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be925dc93c819093750a4d5049ae55 |
completed | March 21, 2026, 12:43 p.m. |
| NEDg | Description generation | batch_69be93cfbe2881908cf97dd9ec5d28b5 |
completed | March 21, 2026, 12:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be9448b5148190903775d394a095f0 |
completed | March 21, 2026, 12:51 p.m. |
Created at: March 20, 2026, 1:35 p.m.