Triple
T9514314
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Plain |
E229483
|
entity |
| Predicate | adjacentTo |
P224
|
FINISHED |
| Object |
Iffley
Iffley is a historic village now part of Oxford, England, known for its Romanesque church and picturesque setting along the River Thames.
|
E804149
|
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: Iffley | Statement: [The Plain, adjacentTo, Iffley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iffley Context triple: [The Plain, adjacentTo, Iffley]
-
A.
Weybridge
Weybridge is a suburban town in southeast England known for its affluent residential areas and proximity to the River Thames and major transport links into London.
-
B.
Teddington
Teddington is a suburban town in southwest London, England, known for its riverside location on the Thames and proximity to several royal parks.
-
C.
Croxley Green
Croxley Green is a large village and residential suburb near Watford in southern England, known for its green spaces and commuter links to London.
-
D.
Englefield Green
Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
-
E.
Bletchingley
Bletchingley is a historic village in Surrey, England, known for its medieval origins and picturesque rural setting.
- 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: Iffley Triple: [The Plain, adjacentTo, Iffley]
Generated description
Iffley is a historic village now part of Oxford, England, known for its Romanesque church and picturesque setting along the River Thames.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Iffley Target entity description: Iffley is a historic village now part of Oxford, England, known for its Romanesque church and picturesque setting along the River Thames.
-
A.
Weybridge
Weybridge is a suburban town in southeast England known for its affluent residential areas and proximity to the River Thames and major transport links into London.
-
B.
Teddington
Teddington is a suburban town in southwest London, England, known for its riverside location on the Thames and proximity to several royal parks.
-
C.
Croxley Green
Croxley Green is a large village and residential suburb near Watford in southern England, known for its green spaces and commuter links to London.
-
D.
Englefield Green
Englefield Green is a village in Surrey, England, known for its proximity to Runnymede and its large common land.
-
E.
Bletchingley
Bletchingley is a historic village in Surrey, England, known for its medieval origins and picturesque rural setting.
- 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_69ca84777560819084cddd999badc1aa |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd986bfcac8190aa97f8975cb17f6c |
completed | April 1, 2026, 10:13 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d13a3e93a481908569a4ec80c834ab |
completed | April 4, 2026, 4:20 p.m. |
| NEDg | Description generation | batch_69d13c88a8b881909b024cf99a6a2778 |
completed | April 4, 2026, 4:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d13cfaab2c8190a6cc0fefeac7cd45 |
completed | April 4, 2026, 4:31 p.m. |
Created at: March 30, 2026, 7:58 p.m.