Triple
T1555506
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NOVA ScienceNow |
E33194
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | NOVA |
E106460
|
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: NOVA | Statement: [NOVA ScienceNow, basedOn, NOVA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: NOVA Context triple: [NOVA ScienceNow, basedOn, NOVA]
-
A.
NOVA
chosen
NOVA is a public research university in Lisbon, Portugal, known for its multidisciplinary programs and international outlook.
-
B.
NOVA
NOVA is the commonly used abbreviation for Northern Virginia Community College, a large public community college serving the Northern Virginia region.
-
C.
NOVA ScienceNow
NOVA ScienceNow is a television science newsmagazine series that explores cutting-edge developments in science and technology, notably hosted for several seasons by astrophysicist Neil deGrasse Tyson.
-
D.
Cosmos
Cosmos is the vast, orderly universe encompassing all space, time, matter, and energy.
-
E.
Cosmos: A Spacetime Odyssey
Cosmos: A Spacetime Odyssey is a 2014 science documentary television series hosted by Neil deGrasse Tyson that explores the universe, scientific discovery, and the laws of nature using modern visual effects and storytelling.
- 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_69a885ee6db8819099502bc5ce8af881 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa620eed9081908921530fd60656b7 |
completed | March 6, 2026, 5:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad401b98888190ad48fbfb6e075434 |
completed | March 8, 2026, 9:23 a.m. |
Created at: March 4, 2026, 7:27 p.m.