Triple
T12523072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Maldon District |
E299366
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Southminster |
E700120
|
NE FINISHED |
How this triple was built (2 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: Southminster | Statement: [Maldon District, contains, Southminster]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Southminster Context triple: [Maldon District, contains, Southminster]
-
A.
Southminster
chosen
Southminster is a small rural town in Essex, England, known for its historic parish church and location near the River Crouch.
-
B.
Brookline
Brookline is an affluent, historic suburban town directly bordering Boston, known for its tree-lined streets, excellent public schools, and vibrant residential neighborhoods.
-
C.
Rowayton
Rowayton is a coastal neighborhood and former village in the city of Norwalk, Connecticut, known for its waterfront setting and small-town New England character.
-
D.
Malden Center
Malden Center is a major transit and commercial hub in Malden, Massachusetts, featuring an MBTA subway and commuter rail station surrounded by shops, restaurants, and civic buildings.
-
E.
Dorchester
Dorchester is a historic market town in Dorset, England, known as the county town and closely associated with the life and works of novelist Thomas Hardy.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6ada5cdd48190860d9ce30aff69be |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d9545c2aa081908e8a5a94d30e23eb |
completed | April 10, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64bc159c88190835fea5c0d9ee799 |
completed | May 2, 2026, 7:08 p.m. |
Created at: April 8, 2026, 9:57 p.m.