Triple
T19086779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNALM |
E467169
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | UNALM |
—
|
NE NERFINISHED |
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: UNALM | Statement: [UNALM, shortName, UNALM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: UNALM Context triple: [UNALM, shortName, UNALM]
-
A.
UNALM
chosen
UNALM is a leading Peruvian public university specializing in agricultural, environmental, and related sciences.
-
B.
UNAMET
UNAMET (United Nations Mission in East Timor) was a UN peacekeeping and electoral mission established in 1999 to organize and oversee the referendum on East Timor’s political status and support its transition toward independence.
-
C.
UNLP
UNLP is a major Argentine public university located in La Plata, recognized for its comprehensive academic programs and significant contributions to research and culture.
-
D.
UdeA
UdeA is a major public research university in Medellín, Colombia, recognized for its academic excellence and cultural and scientific contributions to the region.
-
E.
UNAH
UNAH is the main public higher education institution in Honduras, known for its comprehensive academic programs and central role in the country’s research and professional training.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd05ac4c8190b1967d8f97f3fb2f |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e347ee288190a3e935ff89ca94aa |
completed | April 20, 2026, 8:26 a.m. |
Created at: April 10, 2026, 12:04 p.m.