Triple
T1074345
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Normandy |
E23801
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object | Le Havre |
E14638
|
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 | Statement: [Normandy, contains, Le Havre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Havre Context triple: [Normandy, contains, Le Havre]
-
A.
Le Havre
chosen
Le Havre is a major French port city in Normandy, known as one of the country’s principal maritime and commercial gateways.
-
B.
The Lighthouse at Honfleur
The Lighthouse at Honfleur is an early pointillist seascape painting by Georges Seurat depicting the harbor and lighthouse of the French coastal town of Honfleur.
-
C.
The Bridge at Courbevoie
The Bridge at Courbevoie is an 1886–87 Post-Impressionist oil painting by Georges Seurat that depicts a tranquil riverside scene near Paris using his pioneering pointillist technique.
-
D.
Three Weeks
Three Weeks is a period of mourning in the Jewish calendar commemorating the siege and destruction of the First and Second Temples in Jerusalem.
-
E.
Fifty Million Frenchmen
Fifty Million Frenchmen is a 1929 Broadway musical comedy with music and lyrics by Cole Porter, known for its witty songs and Parisian setting.
- 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_69a493f1ddf48190a99d54b00e99f8ce |
completed | March 1, 2026, 7:30 p.m. |
| NER | Named-entity recognition | batch_69a4b92cbfd481909e2f928c1d06ebaa |
completed | March 1, 2026, 10:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac42a9af14819091d4f2578c6b1c02 |
completed | March 7, 2026, 3:22 p.m. |
Created at: March 1, 2026, 7:42 p.m.