Triple
T3089832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suffolk |
E64456
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Laxfield
Laxfield is a historic rural village and civil parish in the English county of Suffolk, known for its traditional architecture and agricultural surroundings.
|
E332903
|
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: Laxfield | Statement: [Suffolk, containsSettlement, Laxfield]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laxfield Context triple: [Suffolk, containsSettlement, Laxfield]
-
A.
Sandisfield
Sandisfield is a small rural town in southwestern Massachusetts known for its forests, reservoirs, and quiet, sparsely populated landscape.
-
B.
Battisford
Battisford is a small rural village and civil parish located in the English county of Suffolk.
-
C.
Adeyfield
Adeyfield is a residential district and former new town neighborhood within Hemel Hempstead in the English county of Hertfordshire.
-
D.
Waldringfield
Waldringfield is a small riverside village in eastern England known for its scenic setting on the River Deben and sailing activities.
-
E.
Southwold
Southwold is a small seaside town and popular tourist resort on the North Sea coast of Suffolk, England, known for its pier, beach huts, and historic lighthouse.
- 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: Laxfield Triple: [Suffolk, containsSettlement, Laxfield]
Generated description
Laxfield is a historic rural village and civil parish in the English county of Suffolk, known for its traditional architecture and agricultural surroundings.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laxfield Target entity description: Laxfield is a historic rural village and civil parish in the English county of Suffolk, known for its traditional architecture and agricultural surroundings.
-
A.
Sandisfield
Sandisfield is a small rural town in southwestern Massachusetts known for its forests, reservoirs, and quiet, sparsely populated landscape.
-
B.
Battisford
Battisford is a small rural village and civil parish located in the English county of Suffolk.
-
C.
Adeyfield
Adeyfield is a residential district and former new town neighborhood within Hemel Hempstead in the English county of Hertfordshire.
-
D.
Waldringfield
Waldringfield is a small riverside village in eastern England known for its scenic setting on the River Deben and sailing activities.
-
E.
Southwold
Southwold is a small seaside town and popular tourist resort on the North Sea coast of Suffolk, England, known for its pier, beach huts, and historic lighthouse.
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada20d8f788190b05b8b6b5042bc1a |
completed | March 8, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b235a3ebac8190af9a25eeee778675 |
completed | March 12, 2026, 3:40 a.m. |
| NEDg | Description generation | batch_69b2365f20dc819081b8d2beccc31c19 |
completed | March 12, 2026, 3:43 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b237397e14819093a7192d28c59ad1 |
completed | March 12, 2026, 3:47 a.m. |
Created at: March 8, 2026, 3:03 p.m.