Triple
T235369
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cambridge railway station |
E4497
|
entity |
| Predicate | offersServiceTo |
P8172
|
FINISHED |
| Object | King’s Lynn |
E20494
|
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: King’s Lynn | Statement: [Cambridge railway station, offersServiceTo, King’s Lynn]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: King’s Lynn Context triple: [Cambridge railway station, offersServiceTo, King’s Lynn]
-
A.
King's Lynn
chosen
King's Lynn is a historic market and port town in Norfolk, England, known for its medieval architecture and long-standing role as a regional commercial center.
-
B.
Norwich
Norwich is a historic cathedral city in Norfolk, England, known for its medieval architecture and role as a regional cultural and economic center.
-
C.
Harwich
Harwich is a coastal town on southeastern Cape Cod in Massachusetts known for its beaches, harbors, and summer tourism.
-
D.
Dover
Dover is a small town in eastern Dutchess County, New York, known for its rural character and location near the Connecticut border.
-
E.
Dover
Dover is a coastal town in southeast England best known for its white chalk cliffs and its strategic port facing the narrowest part of the English Channel.
- 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_69a257363ffc81909757bde7ab3404da |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a260c42060819089eb772202e504f5 |
completed | Feb. 28, 2026, 3:28 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3d23c0fd4819092dea53bc8d990ad |
completed | March 1, 2026, 5:44 a.m. |
Created at: Feb. 28, 2026, 2:53 a.m.