Triple
T2801477
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk, England |
E53163
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Framlingham
Framlingham is a historic market town in Suffolk, England, best known for its well-preserved medieval castle.
|
E299686
|
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: Framlingham | Statement: [Suffolk, England, containsSettlement, Framlingham]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Framlingham Context triple: [Suffolk, England, containsSettlement, Framlingham]
-
A.
Aylsham
Aylsham is a historic market town in eastern England known for its traditional architecture and proximity to the Norfolk Broads.
-
B.
Fakenham
Fakenham is a market town in Norfolk, England, known historically for its agriculture and as a local commercial center.
-
C.
Dereham
Dereham is a market town in the English county of Norfolk, known historically for its agriculture and rural character.
-
D.
Thetford
Thetford is a historic market town in eastern England known for its ancient earthworks, links to Thomas Paine, and surrounding Breckland forest.
-
E.
Wymondham
Wymondham is a historic market town in the English county of Norfolk, known for its medieval abbey and traditional 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: Framlingham Triple: [Suffolk, England, containsSettlement, Framlingham]
Generated description
Framlingham is a historic market town in Suffolk, England, best known for its well-preserved medieval castle.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Framlingham Target entity description: Framlingham is a historic market town in Suffolk, England, best known for its well-preserved medieval castle.
-
A.
Aylsham
Aylsham is a historic market town in eastern England known for its traditional architecture and proximity to the Norfolk Broads.
-
B.
Fakenham
Fakenham is a market town in Norfolk, England, known historically for its agriculture and as a local commercial center.
-
C.
Dereham
Dereham is a market town in the English county of Norfolk, known historically for its agriculture and rural character.
-
D.
Thetford
Thetford is a historic market town in eastern England known for its ancient earthworks, links to Thomas Paine, and surrounding Breckland forest.
-
E.
Wymondham
Wymondham is a historic market town in the English county of Norfolk, known for its medieval abbey and traditional 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_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.