Triple
T6847948
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Universidad Autónoma de Santo Domingo |
E157942
|
entity |
| Predicate | abbreviation |
P43
|
FINISHED |
| Object | UASD |
E623511
|
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: UASD | Statement: [Universidad Autónoma de Santo Domingo, abbreviation, UASD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UASD Context triple: [Universidad Autónoma de Santo Domingo, abbreviation, UASD]
-
A.
UASD
chosen
UASD is the Autonomous University of Santo Domingo, the oldest university in the Americas and the main public higher education institution in the Dominican Republic.
-
B.
UCA
UCA is a Jesuit-run Central American University in Managua, Nicaragua, known for its strong emphasis on social justice, human rights, and critical scholarship.
-
C.
UCA
UCA is a French public university located in Clermont-Ferrand, known for its research and education across disciplines such as science, health, law, and humanities.
-
D.
UCA
UCA is a Spanish public university based in Cádiz, known for its programs in marine sciences, engineering, and humanities.
-
E.
UCA
UCA is the Unicode Collation Algorithm, a Unicode standard that defines a language-independent method for ordering and comparing Unicode text.
- 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_69c6882ed4c081909dc465a7cf8838be |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d7ce3e7481908e0472b8faafa473 |
completed | March 27, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7427825d881909f151ca2ce3bd546 |
completed | March 28, 2026, 2:52 a.m. |
Created at: March 27, 2026, 2:20 p.m.