Triple
T13674955
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pace University |
E327849
|
entity |
| Predicate | motto |
P42
|
FINISHED |
| Object | Opportunitas |
E327849
|
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: Opportunitas | Statement: [Pace University, motto, Opportunitas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Opportunitas Context triple: [Pace University, motto, Opportunitas]
-
A.
Opportunitas
chosen
Opportunitas is the Latin motto of Pace University, emphasizing opportunity and access to education.
-
B.
The Opportunity
The Opportunity is a Caroline-era stage comedy by English dramatist James Shirley, known for its intricate plotting and witty exploration of love and social ambition.
-
C.
Opportunity
Opportunity is one of the three main subthemes of Expo 2020, focusing on unlocking the potential of individuals and communities to shape a better future.
-
D.
Opportunity
Opportunity was a NASA robotic rover that explored the surface of Mars, significantly extending its planned mission and providing key insights into the planet’s geology and past presence of water.
-
E.
Chansen
Chansen is an important archaeological site in central Thailand associated with the ancient Dvaravati culture.
- 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_69d8076f1fa8819094664a59b55010df |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc65c04988190b675e6fb7241e53c |
completed | April 12, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7943dbf748190b41abfe9d81d1427 |
completed | May 3, 2026, 6:30 p.m. |
Created at: April 9, 2026, 9:53 p.m.