Triple
T17691353
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Normandie dry dock |
E441033
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Forme Joubert |
—
|
NE NERFINISHED |
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: Forme Joubert | Statement: [Normandie dry dock, alsoKnownAs, Forme Joubert]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Forme Joubert Context triple: [Normandie dry dock, alsoKnownAs, Forme Joubert]
-
A.
Joubbé
Joubbé is a locality in Lebanon that forms part of the pastoral territory served by the Maronite Catholic Eparchy of Joubbé, Sarba and Jounieh.
-
B.
Joubert
chosen
Joubert is a French-origin surname common in South Africa and other countries, borne by various notable figures in politics, sports, and the arts.
-
C.
Joubertina
Joubertina is a small rural town in South Africa’s Eastern Cape, situated in the Langkloof valley and known for its surrounding fruit-farming region.
-
D.
Meckingsen
Meckingsen is a village-level district that forms part of the town of Soest in North Rhine-Westphalia, Germany.
-
E.
Krabbé
Krabbé is a Dutch surname most notably associated with actor and director Jeroen Krabbé.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8b9e940b081908b862bb0e6e89b0d |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e47152306c819086d483d87348db5d |
completed | April 19, 2026, 6:08 a.m. |
Created at: April 10, 2026, 10:03 a.m.