Triple
T8571530
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | North Sea ports |
E202936
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Port of Le Havre |
E47143
|
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 Le Havre | Statement: [North Sea ports, hasPart, Port of Le Havre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Port of Le Havre Context triple: [North Sea ports, hasPart, Port of Le Havre]
-
A.
Port of Le Havre
chosen
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.
-
B.
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.
-
C.
The Port of Honfleur
The Port of Honfleur is a painting by French Fauvist and post-Impressionist artist Albert Marquet depicting the harbor of the Normandy town of Honfleur.
-
D.
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.
-
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_69ca8327b0a881908606ff860713964d |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea4223888190a56d9026ae0b9ec0 |
completed | March 31, 2026, 3:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce8983bd3c819094457b5160bc928d |
completed | April 2, 2026, 3:21 p.m. |
Created at: March 30, 2026, 6:21 p.m.