Triple
T7375724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | canton of Calais-2 |
E170116
|
entity |
| Predicate | hasNameInLanguage |
P15
|
FINISHED |
| Object |
Calais-2@en
Calais-2 is an administrative canton in the Pas-de-Calais department in northern France, centered around the city of Calais.
|
E30799
|
NE FINISHED |
How this triple was built (4 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: Calais-2@en | Statement: [canton of Calais-2, hasNameInLanguage, Calais-2@en]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calais-2@en Context triple: [canton of Calais-2, hasNameInLanguage, Calais-2@en]
-
A.
Calaisienne
Calaisienne is the French term for a female inhabitant or native of the port city of Calais in northern France.
-
B.
City of Calais
The City of Calais is a historic French port on the English Channel, long serving as a key gateway between France and Britain and known for its strategic military and commercial importance.
-
C.
Calais
Calais is a major French port city on the northern coast, serving as one of the primary crossing points between France and England.
-
D.
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.
-
E.
Pas de Calais
Pas de Calais is the French name for the Strait of Dover, the narrowest part of the English Channel separating France and England.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Calais-2@en Triple: [canton of Calais-2, hasNameInLanguage, Calais-2@en]
Generated description
Calais-2 is an administrative canton in the Pas-de-Calais department in northern France, centered around the city of Calais.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Calais-2@en Target entity description: Calais-2 is an administrative canton in the Pas-de-Calais department in northern France, centered around the city of Calais.
-
A.
Calaisienne
Calaisienne is the French term for a female inhabitant or native of the port city of Calais in northern France.
-
B.
City of Calais
The City of Calais is a historic French port on the English Channel, long serving as a key gateway between France and Britain and known for its strategic military and commercial importance.
-
C.
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.
-
D.
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.
-
E.
Pas de Calais
Pas de Calais is the French name for the Strait of Dover, the narrowest part of the English Channel separating France and England.
- F. None of above.
Provenance (5 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_69c68a5bfaac81909ce7f001dfb70c76 |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1a780f88190abf11994e307b6ad |
completed | March 27, 2026, 9:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802d15a8481908e43701459607276 |
completed | March 28, 2026, 4:33 p.m. |
| NEDg | Description generation | batch_69c803ad72308190a9640f2fb043daab |
completed | March 28, 2026, 4:37 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8043121988190b7c9ea0f786296c2 |
completed | March 28, 2026, 4:39 p.m. |
Created at: March 27, 2026, 3:07 p.m.