Triple
T6612230
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ennigerloh |
E149262
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Beckum
Beckum is a town in the district of Warendorf in North Rhine-Westphalia, Germany, known historically for its cement industry and location in the Münsterland region.
|
E601001
|
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: Beckum | Statement: [Ennigerloh, locatedNear, Beckum]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Beckum Context triple: [Ennigerloh, locatedNear, Beckum]
-
A.
Cleckheaton
Cleckheaton is a town in West Yorkshire, England, historically part of the Heavy Woollen District and known for its textile industry heritage.
-
B.
Bacup
Bacup is a small former mill town in Lancashire, England, known for its well-preserved Victorian architecture and industrial heritage in the South Pennines.
-
C.
Pontefract
Pontefract is a historic market town in northern England, noted for its medieval castle ruins and traditional liquorice confectionery.
-
D.
Woodthorpe
Woodthorpe is a suburban residential area near Arnold in Nottinghamshire, England, known for its quiet streets and local amenities.
-
E.
Mirfield
Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
- 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: Beckum Triple: [Ennigerloh, locatedNear, Beckum]
Generated description
Beckum is a town in the district of Warendorf in North Rhine-Westphalia, Germany, known historically for its cement industry and location in the Münsterland region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Beckum Target entity description: Beckum is a town in the district of Warendorf in North Rhine-Westphalia, Germany, known historically for its cement industry and location in the Münsterland region.
-
A.
Cleckheaton
Cleckheaton is a town in West Yorkshire, England, historically part of the Heavy Woollen District and known for its textile industry heritage.
-
B.
Bacup
Bacup is a small former mill town in Lancashire, England, known for its well-preserved Victorian architecture and industrial heritage in the South Pennines.
-
C.
Pontefract
Pontefract is a historic market town in northern England, noted for its medieval castle ruins and traditional liquorice confectionery.
-
D.
Woodthorpe
Woodthorpe is a suburban residential area near Arnold in Nottinghamshire, England, known for its quiet streets and local amenities.
-
E.
Mirfield
Mirfield is a small town in West Yorkshire, England, known for its position on major rail routes and its historic textile industry.
- 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_69c687ebc680819094caf71faba2efe2 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6af3778a8819094e83afed7c6596f |
completed | March 27, 2026, 4:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6cbd651c08190a19513645fc781c9 |
completed | March 27, 2026, 6:26 p.m. |
| NEDg | Description generation | batch_69c6cd89b51c81909ea17d391732630e |
completed | March 27, 2026, 6:33 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6ce70442c8190a12a6c6eb76c5269 |
completed | March 27, 2026, 6:37 p.m. |
Created at: March 27, 2026, 1:57 p.m.