Triple
T7326823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Castle Point |
E168896
|
entity |
| Predicate | containsSettlement |
P847
|
FINISHED |
| Object |
Hadleigh
Hadleigh is a town in Essex, England, known for its historic castle ruins and position within the borough of Castle Point.
|
E658549
|
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: Hadleigh | Statement: [Castle Point, containsSettlement, Hadleigh]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hadleigh Context triple: [Castle Point, containsSettlement, Hadleigh]
-
A.
Hadleigh
Hadleigh is a historic market town in Suffolk, England, known for its medieval buildings and traditional rural character.
-
B.
Halesworth
Halesworth is a small historic market town in Suffolk, England, known for its traditional high street and proximity to the Suffolk Coast and Heaths Area of Outstanding Natural Beauty.
-
C.
Lavenham
Lavenham is a historic medieval wool town in Suffolk, England, renowned for its well-preserved timber-framed buildings and picturesque streets.
-
D.
Paglesham
Paglesham is a small rural village in Essex, England, known historically for its fishing, boatbuilding, and smuggling heritage along the River Roach.
-
E.
Bedhampton
Bedhampton is a suburban area and former village in Hampshire, England, situated near Havant on the south coast.
- 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: Hadleigh Triple: [Castle Point, containsSettlement, Hadleigh]
Generated description
Hadleigh is a town in Essex, England, known for its historic castle ruins and position within the borough of Castle Point.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hadleigh Target entity description: Hadleigh is a town in Essex, England, known for its historic castle ruins and position within the borough of Castle Point.
-
A.
Hadleigh
Hadleigh is a historic market town in Suffolk, England, known for its medieval buildings and traditional rural character.
-
B.
Halesworth
Halesworth is a small historic market town in Suffolk, England, known for its traditional high street and proximity to the Suffolk Coast and Heaths Area of Outstanding Natural Beauty.
-
C.
Lavenham
Lavenham is a historic medieval wool town in Suffolk, England, renowned for its well-preserved timber-framed buildings and picturesque streets.
-
D.
Paglesham
Paglesham is a small rural village in Essex, England, known historically for its fishing, boatbuilding, and smuggling heritage along the River Roach.
-
E.
Bedhampton
Bedhampton is a suburban area and former village in Hampshire, England, situated near Havant on the south coast.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0a755e88190a50126e2d1d6d4cb |
completed | March 27, 2026, 9:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7fa7f71888190a5025355c303c41d |
completed | March 28, 2026, 3:57 p.m. |
| NEDg | Description generation | batch_69c7fc13167c819084ff05d780fc4394 |
completed | March 28, 2026, 4:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c7fd453fac8190862000bd670b5695 |
completed | March 28, 2026, 4:09 p.m. |
Created at: March 27, 2026, 3:03 p.m.