Triple
T722098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Le Havre |
E14638
|
entity |
| Predicate | originalName |
P65
|
FINISHED |
| Object | Le Havre-de-Grâce |
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: Le Havre-de-Grâce | Statement: [Le Havre, originalName, Le Havre-de-Grâce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Havre-de-Grâce Context triple: [Le Havre, originalName, Le Havre-de-Grâce]
-
A.
Honfleur
Honfleur is a historic port town in Normandy, northern France, renowned for its picturesque old harbor, timber-framed houses, and association with Impressionist painters.
-
B.
Saint-Nazaire
Saint-Nazaire is a major Atlantic port city in western France, known for its shipbuilding industry and strategic location at the mouth of the Loire River.
-
C.
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.
-
D.
Cherbourg
Cherbourg is a major French port city on the Cotentin Peninsula, known for its strategic naval harbor and cross-Channel ferry connections.
-
E.
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.
- 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_69a4934c753c81909b309027e48b9b3a |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a591124c8190842e7ef18b064198 |
completed | March 1, 2026, 8:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a66d936bbc81908708ee5d0fc82100 |
completed | March 3, 2026, 5:11 a.m. |
Created at: March 1, 2026, 7:37 p.m.