Triple
T6787578
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Werder (Havel) |
E155848
|
entity |
| Predicate | twinTown |
P1072
|
FINISHED |
| Object |
Wellesbourne
Wellesbourne is a large English village in Warwickshire, known for its historic airfield and proximity to Stratford-upon-Avon.
|
E627428
|
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: Wellesbourne | Statement: [Werder (Havel), twinTown, Wellesbourne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wellesbourne Context triple: [Werder (Havel), twinTown, Wellesbourne]
-
A.
Wrottesley
Wrottesley is an English surname historically associated with a prominent aristocratic family and the title Baron Wrottesley.
-
B.
Wolverley
Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
-
C.
Cornbrook
Cornbrook is a major Metrolink tram interchange area in Manchester, England, providing key connections between multiple tram lines.
-
D.
Helsby
Helsby is a village and civil parish in Cheshire, England, known for its railway station on the Manchester–Chester line and its prominent sandstone hill, Helsby Hill.
-
E.
Banwell
Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
- 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: Wellesbourne Triple: [Werder (Havel), twinTown, Wellesbourne]
Generated description
Wellesbourne is a large English village in Warwickshire, known for its historic airfield and proximity to Stratford-upon-Avon.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Wellesbourne Target entity description: Wellesbourne is a large English village in Warwickshire, known for its historic airfield and proximity to Stratford-upon-Avon.
-
A.
Wrottesley
Wrottesley is an English surname historically associated with a prominent aristocratic family and the title Baron Wrottesley.
-
B.
Wolverley
Wolverley is a village in Worcestershire, England, known as the birthplace of the renowned 18th-century printer and typographer John Baskerville.
-
C.
Cornbrook
Cornbrook is a major Metrolink tram interchange area in Manchester, England, providing key connections between multiple tram lines.
-
D.
Helsby
Helsby is a village and civil parish in Cheshire, England, known for its railway station on the Manchester–Chester line and its prominent sandstone hill, Helsby Hill.
-
E.
Banwell
Banwell is a village and civil parish in North Somerset, England, known for its historic caves and medieval architecture.
- 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_69c6881770fc8190972b2906390380f5 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d2907d0081908291aad66048b8b1 |
completed | March 27, 2026, 6:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c748a839648190a2d6875a8465579b |
completed | March 28, 2026, 3:19 a.m. |
| NEDg | Description generation | batch_69c74b321e4881908164f4c056ec792d |
completed | March 28, 2026, 3:29 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69c74b71302081909a5dc55eb0ebf61b |
completed | March 28, 2026, 3:30 a.m. |
Created at: March 27, 2026, 2:14 p.m.