Triple
T15994231
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kelvedon |
E387920
|
entity |
| Predicate | hasNearbySettlement |
P4647
|
FINISHED |
| Object | Coggeshall |
E656556
|
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: Coggeshall | Statement: [Kelvedon, hasNearbySettlement, Coggeshall]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Coggeshall Context triple: [Kelvedon, hasNearbySettlement, Coggeshall]
-
A.
Coggeshall
chosen
Coggeshall is a historic market town in Essex, England, known for its medieval buildings and long-standing textile and lace-making heritage.
-
B.
Chesilhurst
Chesilhurst is a small borough located in Camden County, New Jersey, known for its rural character and residential community.
-
C.
Bursledon
Bursledon is a village in Hampshire, England, known for its maritime heritage on the River Hamble and its historic shipbuilding and yachting connections.
-
D.
Eastleigh
Eastleigh is a densely populated, commercially vibrant neighborhood in Nairobi, Kenya, known for its large Somali community and bustling markets.
-
E.
Eastleigh
Eastleigh is a town in Hampshire, England, situated between Southampton and Winchester and known for its railway heritage and commuter links.
- 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_69d86daa562c81908aacc179c0fe8fb5 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e15785fad48190af0556e7ddfd29c5 |
completed | April 16, 2026, 9:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fff293c2248190993d5d74eaf626bc |
completed | May 10, 2026, 2:50 a.m. |
Created at: April 10, 2026, 4:55 a.m.