Triple
T3336319
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gellért Hill |
E70147
|
entity |
| Predicate | hasLandmark |
P105
|
FINISHED |
| Object | Citadella |
E349578
|
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: Citadella | Statement: [Gellért Hill, hasLandmark, Citadella]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Citadella Context triple: [Gellért Hill, hasLandmark, Citadella]
-
A.
Citadella
chosen
Citadella is a 19th-century fortress and popular panoramic lookout situated atop Gellért Hill in Budapest, Hungary.
-
B.
Verne Citadel
Verne Citadel is a 19th-century fortress on the Isle of Portland in Dorset, England, historically used for coastal defense and later as a prison and immigration removal centre.
-
C.
Casteau
Casteau is a village in Belgium best known as the site of NATO’s Supreme Headquarters Allied Powers Europe (SHAPE).
-
D.
Cour Carrée
Cour Carrée is the large, historic square courtyard at the eastern end of the Louvre in Paris, surrounded by classical palace façades that reflect the museum’s origins as a royal residence.
-
E.
Crevel
Crevel is a vain, wealthy former perfumer and libertine in Honoré de Balzac’s novel "La Cousine Bette," emblematic of the corrupt bourgeois society he satirizes.
- 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_69ad85a24f208190bcf83131bfed3521 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb1bad97481909359e914d44a1a74 |
completed | March 8, 2026, 5:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b33423dc288190b71eaa1c0feb26eb |
completed | March 12, 2026, 9:46 p.m. |
Created at: March 8, 2026, 3:12 p.m.