Triple
T11513264
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Italian Republican Party |
E272966
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object |
PRI
PRI is the acronym of the Italian Republican Party, a historic liberal and republican political party in Italy.
|
E930578
|
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: PRI | Statement: [Italian Republican Party, abbreviation, PRI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRI Context triple: [Italian Republican Party, abbreviation, PRI]
-
A.
PRI
PRI is a major Mexican political party that dominated the country’s politics for much of the 20th century.
-
B.
pir
A pir is a spiritual guide or master in Sufism who leads and mentors disciples on the mystical path to closeness with God.
-
C.
PUR
PUR is the official FIBA country code used to represent the Puerto Rico men's national basketball team in international competitions.
-
D.
PREC
PREC is the Portuguese acronym for the Processo Revolucionário em Curso, the turbulent revolutionary period following Portugal’s 1974 Carnation Revolution marked by intense political and social transformation.
-
E.
PI
PI is the vehicle registration code used on license plates for the district of Pinneberg in the German state of Schleswig-Holstein.
- 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: PRI Triple: [Italian Republican Party, abbreviation, PRI]
Generated description
PRI is the acronym of the Italian Republican Party, a historic liberal and republican political party in Italy.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: PRI Target entity description: PRI is the acronym of the Italian Republican Party, a historic liberal and republican political party in Italy.
-
A.
PRI
PRI is a major Mexican political party that dominated the country’s politics for much of the 20th century.
-
B.
pir
A pir is a spiritual guide or master in Sufism who leads and mentors disciples on the mystical path to closeness with God.
-
C.
PUR
PUR is the official FIBA country code used to represent the Puerto Rico men's national basketball team in international competitions.
-
D.
PREC
PREC is the Portuguese acronym for the Processo Revolucionário em Curso, the turbulent revolutionary period following Portugal’s 1974 Carnation Revolution marked by intense political and social transformation.
-
E.
PI
PI is the vehicle registration code used on license plates for the district of Pinneberg in the German state of Schleswig-Holstein.
- 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_69d6aae2c3748190bed2ea50dfb160dc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d86db8bf9c8190820c289e6b0c3873 |
completed | April 10, 2026, 3:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e625143a608190a1119b30c08df0fd |
completed | April 20, 2026, 1:07 p.m. |
| NEDg | Description generation | batch_69e62cf44018819094818f11ac653763 |
completed | April 20, 2026, 1:41 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e674c3a98c8190b32dc6879cb3a5f9 |
completed | April 20, 2026, 6:47 p.m. |
Created at: April 8, 2026, 9:36 p.m.