Triple
T2015257
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port of Ramsgate |
E43779
|
entity |
| Predicate | connectsTo |
P845
|
FINISHED |
| Object | Port of Calais |
E30799
|
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: Port of Calais | Statement: [Port of Ramsgate, connectsTo, Port of Calais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Calais Context triple: [Port of Ramsgate, connectsTo, Port of Calais]
-
A.
Calais
chosen
Calais is a major French port city on the northern coast, serving as one of the primary crossing points between France and England.
-
B.
Port of Le Havre
The Port of Le Havre is one of France’s largest and busiest seaports, serving as a major gateway for maritime trade on the English Channel and the North Sea.
-
C.
Port of Rouen
The Port of Rouen is a major French inland seaport and grain-export hub located on the River Seine between Paris and the English Channel.
-
D.
Port of Dover
The Port of Dover is the United Kingdom’s busiest international ferry port and a major gateway to continental Europe, handling extensive passenger and freight traffic across the English Channel.
-
E.
Port of Paris
The Port of Paris is a major inland port complex in the Île-de-France region that handles river traffic, logistics, and tourism along the Seine and its connected waterways.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb8b610a88190bc10fd7dda19da08 |
completed | March 7, 2026, 5:33 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae0aeca6388190befe0630d44de109 |
completed | March 8, 2026, 11:49 p.m. |
Created at: March 4, 2026, 7:37 p.m.