Triple
T10550501
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Junts per Catalunya |
E248934
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
JxCat
JxCat is the abbreviated name of Junts per Catalunya, a Catalan pro-independence political party active in Catalonia’s regional and national politics.
|
E870231
|
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: JxCat | Statement: [Junts per Catalunya, shortName, JxCat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JxCat Context triple: [Junts per Catalunya, shortName, JxCat]
-
A.
JCP
JCP is the formalized process by which the Java community develops and standardizes Java platform specifications and related technologies.
-
B.
JCP
JCP is the commonly used abbreviation for the Japanese Communist Party, a major left-wing political party in Japan advocating socialism, pacifism, and constitutional democracy.
-
C.
JCP
JCP is the commonly used abbreviation for the Joint Committee on Printing, a United States congressional committee that oversees federal government printing and publication.
-
D.
Dubbo
Dubbo is a regional city in New South Wales, Australia, known as an important agricultural, commercial, and transport hub in the central-west of the state.
-
E.
JXN
JXN is the Amtrak station code for the passenger rail station in Jackson, Michigan.
- 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: JxCat Triple: [Junts per Catalunya, shortName, JxCat]
Generated description
JxCat is the abbreviated name of Junts per Catalunya, a Catalan pro-independence political party active in Catalonia’s regional and national politics.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JxCat Target entity description: JxCat is the abbreviated name of Junts per Catalunya, a Catalan pro-independence political party active in Catalonia’s regional and national politics.
-
A.
JCP
JCP is the formalized process by which the Java community develops and standardizes Java platform specifications and related technologies.
-
B.
JCP
JCP is the commonly used abbreviation for the Japanese Communist Party, a major left-wing political party in Japan advocating socialism, pacifism, and constitutional democracy.
-
C.
JCP
JCP is the commonly used abbreviation for the Joint Committee on Printing, a United States congressional committee that oversees federal government printing and publication.
-
D.
Dubbo
Dubbo is a regional city in New South Wales, Australia, known as an important agricultural, commercial, and transport hub in the central-west of the state.
-
E.
JXN
JXN is the Amtrak station code for the passenger rail station in Jackson, Michigan.
- 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_69d381c733c08190ab1dd6239f5f34ae |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d526d4c4048190a104d6e088f565b3 |
completed | April 7, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d934639b3481908204db41101132c3 |
completed | April 10, 2026, 5:33 p.m. |
| NEDg | Description generation | batch_69d938c8b25c8190bb048053d8668e5c |
completed | April 10, 2026, 5:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d939b1844881908c8fbcb9488863f6 |
completed | April 10, 2026, 5:56 p.m. |
Created at: April 6, 2026, 12:34 p.m.