Triple
T7992165
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chelmsford railway station |
E186033
|
entity |
| Predicate | providesServiceTo |
P82
|
FINISHED |
| Object | Ipswich |
E41563
|
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: Ipswich | Statement: [Chelmsford railway station, providesServiceTo, Ipswich]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ipswich Context triple: [Chelmsford railway station, providesServiceTo, Ipswich]
-
A.
Ipswich
chosen
Ipswich is a historic town and port in Suffolk, England, known as one of the country’s oldest continuously inhabited settlements.
-
B.
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.
-
C.
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.
-
D.
Haverhill
Haverhill is a historic city in northeastern Massachusetts that functions as a suburban community within the Greater Boston metropolitan area.
-
E.
New Ipswich
New Ipswich is a small rural town in southern New Hampshire known for its historic mill villages and scenic setting along the Souhegan River.
- 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_69ca829c6c308190ab05b43d234c52b2 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3c712d0481908d163d2509d054fa |
completed | March 31, 2026, 3:16 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63bcae048190a3fd151b2d8f9f77 |
completed | April 1, 2026, 12:15 a.m. |
Created at: March 30, 2026, 5:16 p.m.