Triple
T7326154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rayleigh |
E168879
|
entity |
| Predicate | nearestCity |
P350
|
FINISHED |
| Object | Chelmsford |
E53972
|
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: Chelmsford | Statement: [Rayleigh, nearestCity, Chelmsford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chelmsford Context triple: [Rayleigh, nearestCity, Chelmsford]
-
A.
Chelmsford
chosen
Chelmsford is a historic cathedral city in Essex, England, known as a major commercial and administrative center and for being one of the UK's newest cities, granted status in 2012.
-
B.
Chelmsford
Chelmsford is a suburban town in northeastern Massachusetts known for its residential communities, local history, and proximity to the city of Lowell.
-
C.
Ipswich
Ipswich is a historic city in South East Queensland, Australia, known for its heritage architecture and role as a major residential and industrial hub west of Brisbane.
-
D.
Ipswich
Ipswich is a historic town and port in Suffolk, England, known as one of the country’s oldest continuously inhabited settlements.
-
E.
Haverhill
Haverhill is a market town in Suffolk, England, known for its growing population, light industry, and role as a commuter hub for nearby larger cities.
- 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_69c68a54cacc81908e3b773441f19566 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f0a612c08190b7a3fefa811bbcec |
completed | March 27, 2026, 9:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827651b7c81908f5dca5903183b7b |
completed | March 28, 2026, 7:09 p.m. |
Created at: March 27, 2026, 3:03 p.m.