Triple
T3172057
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Northamptonshire |
E66376
|
entity |
| Predicate | hasCountyTown |
P383
|
FINISHED |
| Object | Northampton |
E81821
|
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: Northampton | Statement: [Northamptonshire, hasCountyTown, Northampton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Northampton Context triple: [Northamptonshire, hasCountyTown, Northampton]
-
A.
Northampton
chosen
Northampton is a historic market town and the county town of Northamptonshire in the East Midlands of England.
-
B.
Northampton
Northampton is a small, culturally vibrant city in western Massachusetts known for its progressive community, arts scene, and historic New England character.
-
C.
Ipswich
Ipswich is a historic town and port in Suffolk, England, known as one of the country’s oldest continuously inhabited settlements.
-
D.
Hertford
Hertford is a historic market town and the county town of Hertfordshire in southern England.
-
E.
Norwich
Norwich is a historic cathedral city in Norfolk, England, known for its medieval architecture and role as a regional cultural and economic center.
- 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_69ad8585d7988190af37365331093ccd |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada66da23c81908f063b44b48b1e53 |
completed | March 8, 2026, 4:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b324ea81f4819080e836dccf8254d0 |
completed | March 12, 2026, 8:41 p.m. |
Created at: March 8, 2026, 3:06 p.m.