Triple
T15145394
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bay of Marseille |
E361791
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object | Château d’If |
E73176
|
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: Château d’If | Statement: [Bay of Marseille, knownFor, Château d’If]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Château d’If Context triple: [Bay of Marseille, knownFor, Château d’If]
-
A.
Château d’If
chosen
Château d’If is a historic island fortress off the coast of Marseille, France, best known as the setting of Alexandre Dumas’ novel "The Count of Monte Cristo."
-
B.
Bastiglia
Bastiglia is a small municipality in the Emilia-Romagna region of northern Italy, situated in the province of Modena.
-
C.
Palacio de las Cadenas
Palacio de las Cadenas is a prominent Renaissance palace in Úbeda, Spain, renowned for its elegant architecture and role within the city’s historic monumental ensemble.
-
D.
Prison de l'Abbaye
Prison de l'Abbaye was a notorious Parisian prison and former abbey used during the French Revolution to detain political prisoners and site of several massacres.
-
E.
Citadella
Citadella is a 19th-century fortress and popular panoramic lookout situated atop Gellért Hill in Budapest, Hungary.
- 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_69d85a0759908190b8a051d2e2a1cbe6 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e005c71b688190b2e8ccfdf4db9037 |
completed | April 15, 2026, 9:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fec882533c8190aae3f5b735ca4ec9 |
completed | May 9, 2026, 5:39 a.m. |
Created at: April 10, 2026, 3:07 a.m.