Triple
T13638771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Elmdon Airport |
E325919
|
entity |
| Predicate | locatedIn |
P40
|
FINISHED |
| Object |
Elmdon
Elmdon is a village and former civil parish in the West Midlands of England, historically notable as the original site of what is now Birmingham Airport (formerly Elmdon Airport).
|
E1054816
|
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: Elmdon | Statement: [Elmdon Airport, locatedIn, Elmdon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elmdon Context triple: [Elmdon Airport, locatedIn, Elmdon]
-
A.
Neasden
Neasden is a suburban area in northwest London, England, known for its residential character and proximity to major roads and rail links.
-
B.
Southbourne
Southbourne is a village and civil parish in West Sussex, England, situated near Chichester on the south coast.
-
C.
Godalming
Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
-
D.
Bowdon
Bowdon is a small city in Carroll County, western Georgia, known for its rural character and proximity to the Alabama state line.
-
E.
Bowdon
Bowdon is an affluent suburban area in Greater Manchester, England, known for its Victorian and Edwardian architecture and proximity to Altrincham.
- 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: Elmdon Triple: [Elmdon Airport, locatedIn, Elmdon]
Generated description
Elmdon is a village and former civil parish in the West Midlands of England, historically notable as the original site of what is now Birmingham Airport (formerly Elmdon Airport).
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elmdon Target entity description: Elmdon is a village and former civil parish in the West Midlands of England, historically notable as the original site of what is now Birmingham Airport (formerly Elmdon Airport).
-
A.
Neasden
Neasden is a suburban area in northwest London, England, known for its residential character and proximity to major roads and rail links.
-
B.
Southbourne
Southbourne is a village and civil parish in West Sussex, England, situated near Chichester on the south coast.
-
C.
Godalming
Godalming is a historic market town in southeast England known for its picturesque streets, riverside setting, and role as a commuter hub for London.
-
D.
Bowdon
Bowdon is an affluent suburban area in Greater Manchester, England, known for its Victorian and Edwardian architecture and proximity to Altrincham.
-
E.
Bowdon
Bowdon is a small city in Carroll County, western Georgia, known for its rural character and proximity to the Alabama state line.
- 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_69d8076beddc8190a53156f5bea77f5e |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc5a84cc4819098a975e33250c89b |
completed | April 12, 2026, 4:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943306f08190b3a4c44e5b22db0a |
completed | May 3, 2026, 6:30 p.m. |
| NEDg | Description generation | batch_69f796a4eac88190aa68765fd0e6dfe7 |
completed | May 3, 2026, 6:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f7976846308190b1a5c056609fca34 |
completed | May 3, 2026, 6:43 p.m. |
Created at: April 9, 2026, 9:51 p.m.