Triple
T346952
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | River Seine |
E6962
|
entity |
| Predicate | passesThrough |
P225
|
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: [River Seine, passesThrough, Le Havre]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Havre Context triple: [River Seine, passesThrough, 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.
Casablanca
Casablanca is Morocco’s largest city and economic hub, located on the Atlantic coast of North Africa and known for its major port and modern urban character.
-
C.
Casablanca
Casablanca is a classic 1942 American romantic drama film set during World War II, renowned for its iconic performances, memorable dialogue, and enduring status as one of Hollywood’s greatest movies.
-
D.
Dunkirk
Dunkirk is a 2017 war film directed by Christopher Nolan that depicts the World War II evacuation of Allied soldiers from the beaches of Dunkirk, France.
-
E.
Dunkirk
Dunkirk is a coastal town in northern France best known as the site of the World War II evacuation of Allied troops in 1940.
- 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_69a2e7951ba08190960e90823b5078f3 |
completed | Feb. 28, 2026, 1:03 p.m. |
| NER | Named-entity recognition | batch_69a2eb1a37c08190b1380f6bf8513a37 |
completed | Feb. 28, 2026, 1:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3dd31c720819092af1eb26bd3080a |
completed | March 1, 2026, 6:31 a.m. |
Created at: Feb. 28, 2026, 1:08 p.m.