Triple
T6825802
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Institutional Revolutionary Party |
E157011
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object | PRI |
E621602
|
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: PRI | Statement: [Institutional Revolutionary Party, hasAbbreviation, PRI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PRI Context triple: [Institutional Revolutionary Party, hasAbbreviation, PRI]
-
A.
PRI
chosen
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.
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.
-
D.
PI
PI is the vehicle registration code used on license plates for the district of Pinneberg in the German state of Schleswig-Holstein.
-
E.
PI
PI is a leading independent research institute in Waterloo, Canada, dedicated to advancing fundamental theoretical physics and fostering scientific collaboration and education.
- 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_69c6882a5b5c8190917a7db9ed36bad1 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d58375248190935dd38d618994e3 |
completed | March 27, 2026, 7:07 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c72fa6fc80819081f012ea2207c25a |
completed | March 28, 2026, 1:32 a.m. |
Created at: March 27, 2026, 2:18 p.m.