Triple
T14948250
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | City of Calais |
E372722
|
entity |
| Predicate | hasPort |
P35
|
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: [City of Calais, hasPort, Port of Calais]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Calais Context triple: [City of Calais, hasPort, Port of Calais]
-
A.
Calais
Calais is a figure from Greek mythology, one of the winged sons of Boreas who joined Jason and the Argonauts on their legendary voyage.
-
B.
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.
-
C.
Port of Cherbourg
The Port of Cherbourg is a major deep-water harbor in northwestern France that serves as an important hub for cross-Channel ferry traffic, naval operations, and commercial shipping.
-
D.
Dover–Calais
Dover–Calais is a major cross-Channel ferry route linking the port of Dover in England with Calais in France across the Strait of Dover.
-
E.
Port of Boulogne-sur-Mer
The Port of Boulogne-sur-Mer is a major French fishing and commercial harbor on the English Channel, known as one of Europe’s leading seafood ports.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded68e35c481908e47cd68441c5115 |
completed | April 15, 2026, 12:06 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8bd871188190afcba3be94dbfa94 |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:39 a.m.