Triple
T1468499
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RAF Fairford |
E27079
|
entity |
| Predicate | locatedNear |
P294
|
FINISHED |
| Object |
Fairford
Fairford is a small market town in Gloucestershire, England, known for its historic wool church and proximity to RAF Fairford airbase.
|
E174038
|
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: Fairford | Statement: [RAF Fairford, locatedNear, Fairford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fairford Context triple: [RAF Fairford, locatedNear, Fairford]
-
A.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
-
B.
Sharneyford
Sharneyford is a small settlement in Lancashire, England, situated within the Rossendale Valley near the border with West Yorkshire.
-
C.
Pyrford
Pyrford is a village in Surrey, England, known for its historic church, green spaces, and residential character near the town of Woking.
-
D.
Widford
Widford is a small rural village in Oxfordshire, England, known for its historic church and picturesque countryside setting.
-
E.
Cuckfield
Cuckfield is a historic village and civil parish in the Mid Sussex district of West Sussex, England, known for its picturesque High Street and traditional English character.
- 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: Fairford Triple: [RAF Fairford, locatedNear, Fairford]
Generated description
Fairford is a small market town in Gloucestershire, England, known for its historic wool church and proximity to RAF Fairford airbase.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fairford Target entity description: Fairford is a small market town in Gloucestershire, England, known for its historic wool church and proximity to RAF Fairford airbase.
-
A.
Highworth
Highworth is a historic market town in Wiltshire, England, known for its elevated position and traditional architecture.
-
B.
Sharneyford
Sharneyford is a small settlement in Lancashire, England, situated within the Rossendale Valley near the border with West Yorkshire.
-
C.
Pyrford
Pyrford is a village in Surrey, England, known for its historic church, green spaces, and residential character near the town of Woking.
-
D.
Widford
Widford is a small rural village in Oxfordshire, England, known for its historic church and picturesque countryside setting.
-
E.
Cuckfield
Cuckfield is a historic village and civil parish in the Mid Sussex district of West Sussex, England, known for its picturesque High Street and traditional English character.
- 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_69a496d25d6881909dbd84f86d763992 |
completed | March 1, 2026, 7:43 p.m. |
| NER | Named-entity recognition | batch_69a4c5d70a948190b50a6c1b36abc740 |
completed | March 1, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad2940a44c8190967a62781cca0306 |
completed | March 8, 2026, 7:46 a.m. |
| NEDg | Description generation | batch_69ad2a1742d48190a82c1fc8c81d5c21 |
completed | March 8, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad2a9e50888190bab83785f11135ea |
completed | March 8, 2026, 7:51 a.m. |
Created at: March 1, 2026, 8:01 p.m.