Triple
T2801622
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk, England |
E53163
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Flixton
Flixton is a small village and civil parish in Suffolk, England, known for its rural character and historic setting.
|
E299751
|
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: Flixton | Statement: [Suffolk, England, containsSettlement, Flixton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Flixton Context triple: [Suffolk, England, containsSettlement, Flixton]
-
A.
Flixton
Flixton is a suburban area in the Metropolitan Borough of Trafford, Greater Manchester, England, known primarily as a residential community.
-
B.
Euxton
Euxton is a village and civil parish in Lancashire, England, situated near the town of Leyland.
-
C.
Taynton
Taynton is a small rural village located within the district of West Oxfordshire in Oxfordshire, England.
-
D.
Tottington
Tottington is a small town in Greater Manchester, England, situated within the Metropolitan Borough of Bury and known for its semi-rural character and historic village centre.
-
E.
Whittlesey
Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
- 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: Flixton Triple: [Suffolk, England, containsSettlement, Flixton]
Generated description
Flixton is a small village and civil parish in Suffolk, England, known for its rural character and historic setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Flixton Target entity description: Flixton is a small village and civil parish in Suffolk, England, known for its rural character and historic setting.
-
A.
Flixton
Flixton is a suburban area in the Metropolitan Borough of Trafford, Greater Manchester, England, known primarily as a residential community.
-
B.
Euxton
Euxton is a village and civil parish in Lancashire, England, situated near the town of Leyland.
-
C.
Taynton
Taynton is a small rural village located within the district of West Oxfordshire in Oxfordshire, England.
-
D.
Tottington
Tottington is a small town in Greater Manchester, England, situated within the Metropolitan Borough of Bury and known for its semi-rural character and historic village centre.
-
E.
Whittlesey
Whittlesey is a historic market town and civil parish in the Fenland area of Cambridgeshire, England, known for its traditional Straw Bear Festival and surrounding wetland landscapes.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abde1117148190b0c98f906f1c872e |
completed | March 7, 2026, 8:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc66d1e488190a4b85decfb38097f |
completed | March 10, 2026, 7:21 a.m. |
| NEDg | Description generation | batch_69afc8b12b848190ad514eed2d26a90f |
completed | March 10, 2026, 7:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc9413e1881908fc091b98913e1cf |
completed | March 10, 2026, 7:33 a.m. |
Created at: March 6, 2026, 9:58 p.m.