Triple
T15614506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Communist Youth Union of Spain |
E375378
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
UJCE
UJCE is the youth wing of the Communist Party in Spain, organizing and mobilizing young people around Marxist–Leninist political activism.
|
E1166125
|
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: UJCE | Statement: [Communist Youth Union of Spain, shortName, UJCE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UJCE Context triple: [Communist Youth Union of Spain, shortName, UJCE]
-
A.
UJE
UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
-
B.
UJ
UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
-
C.
UJC
UJC is the youth wing of Cuba’s Communist Party, responsible for engaging and organizing young people in support of the country’s socialist project.
-
D.
UJN
UJN is the commonly used abbreviation for the University of Jinan, a comprehensive higher education institution located in Jinan, China.
-
E.
CJUE
CJUE is the French acronym for the Court of Justice of the European Union, the EU’s highest judicial authority responsible for interpreting EU law and ensuring its uniform application across member states.
- 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: UJCE Triple: [Communist Youth Union of Spain, shortName, UJCE]
Generated description
UJCE is the youth wing of the Communist Party in Spain, organizing and mobilizing young people around Marxist–Leninist political activism.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: UJCE Target entity description: UJCE is the youth wing of the Communist Party in Spain, organizing and mobilizing young people around Marxist–Leninist political activism.
-
A.
UJE
UJE is the IATA airport code for the airstrip serving Ujae Atoll in the Marshall Islands.
-
B.
UJ
UJ is a major public university in Johannesburg, South Africa, known for its diverse academic programs and strong focus on research and innovation.
-
C.
UJC
UJC is the youth wing of Cuba’s Communist Party, responsible for engaging and organizing young people in support of the country’s socialist project.
-
D.
UJN
UJN is the commonly used abbreviation for the University of Jinan, a comprehensive higher education institution located in Jinan, China.
-
E.
CJUE
CJUE is the French acronym for the Court of Justice of the European Union, the EU’s highest judicial authority responsible for interpreting EU law and ensuring its uniform application across member states.
- 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_69d85ccf2794819096cda4cbcb02d478 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69e04e83407c8190abbcd4b7fab0ff85 |
completed | April 16, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff56d91f208190a11f0d208970145b |
completed | May 9, 2026, 3:46 p.m. |
| NEDg | Description generation | batch_69ff57f1b5488190a3200ec3707b0eee |
completed | May 9, 2026, 3:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff585cff9081908e7ce481cc653167 |
completed | May 9, 2026, 3:53 p.m. |
Created at: April 10, 2026, 4:13 a.m.