Triple
T1769037
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casa Rosada |
E38829
|
entity |
| Predicate | nativeName |
P15
|
FINISHED |
| Object | Casa Rosada |
E38829
|
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: Casa Rosada | Statement: [Casa Rosada, nativeName, Casa Rosada]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Casa Rosada Context triple: [Casa Rosada, nativeName, Casa Rosada]
-
A.
Casa Rosada
chosen
Casa Rosada is the iconic pink presidential palace and seat of the executive branch of government in Argentina, located in central Buenos Aires.
-
B.
Palacio Nacional
Palacio Nacional is the historic seat of Mexico’s federal executive power, located on Mexico City’s main square and known for its colonial architecture and Diego Rivera murals.
-
C.
Buenos Aires City Hall
Buenos Aires City Hall is the historic municipal government building and administrative center of the Autonomous City of Buenos Aires, Argentina.
-
D.
Palacio de Carondelet
Palacio de Carondelet is the historic presidential palace and seat of government of Ecuador, located in the heart of Quito’s colonial center.
-
E.
La Moneda Palace
La Moneda Palace is the neoclassical presidential palace and seat of government of Chile, located in central Santiago.
- 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_69a8862e61708190af97b9838cc3f5de |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69aa648d9f2c8190aca4884648a69eb0 |
completed | March 6, 2026, 5:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69adbf4db1c48190a96f137db3e2f32c |
completed | March 8, 2026, 6:26 p.m. |
Created at: March 4, 2026, 7:31 p.m.