Triple
T15848224
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chamber of Deputies of Romania |
E384267
|
entity |
| Predicate | nativeLabel |
P657
|
FINISHED |
| Object |
Camera Deputaților
Camera Deputaților is the lower house of Romania’s bicameral parliament, responsible for national legislation and political representation.
|
E1179237
|
NE FINISHED |
How this triple was built (4 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: Camera Deputaților | Statement: [Chamber of Deputies of Romania, nativeLabel, Camera Deputaților]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Camera Deputaților Context triple: [Chamber of Deputies of Romania, nativeLabel, Camera Deputaților]
-
A.
Cámara
Cámara is an Argentine Navy officer known for his service in Argentina's naval forces.
-
B.
The Camera
The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
-
C.
Caméra One
Caméra One is a French film production company known for producing acclaimed art-house and auteur-driven movies.
-
D.
Camira
Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
-
E.
Camira
Camira is a residential suburb located within the Ipswich City Council area in South East Queensland, Australia.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Camera Deputaților Triple: [Chamber of Deputies of Romania, nativeLabel, Camera Deputaților]
Generated description
Camera Deputaților is the lower house of Romania’s bicameral parliament, responsible for national legislation and political representation.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Camera Deputaților Target entity description: Camera Deputaților is the lower house of Romania’s bicameral parliament, responsible for national legislation and political representation.
-
A.
Cámara
Cámara is an Argentine Navy officer known for his service in Argentina's naval forces.
-
B.
The Camera
The Camera is a seminal photography book by Ansel Adams that explores the technical and artistic use of cameras in creating expressive photographs.
-
C.
Caméra One
Caméra One is a French film production company known for producing acclaimed art-house and auteur-driven movies.
-
D.
Camira
Camira is a compact family car model produced by Holden, the Australian subsidiary of General Motors, during the 1980s.
-
E.
Camira
Camira is a residential suburb located within the Ipswich City Council area in South East Queensland, Australia.
- F. None of above. chosen
Provenance (5 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_69d86da422088190aac39e32e6c68429 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e14ca96c588190922b1f7556dd08cf |
completed | April 16, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffa145f2dc819092db805806b6e1d5 |
completed | May 9, 2026, 9:04 p.m. |
| NEDg | Description generation | batch_69ffa41a86ec8190b46d541965ecf26e |
completed | May 9, 2026, 9:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffa496f3e48190b8dc82bece548aec |
completed | May 9, 2026, 9:18 p.m. |
Created at: April 10, 2026, 4:50 a.m.