Triple
T21523523
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Youngstown State University |
E531033
|
entity |
| Predicate | athleticNickname |
P55
|
FINISHED |
| Object | Penguins |
—
|
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: Penguins | Statement: [Youngstown State University, athleticNickname, Penguins]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Penguins Context triple: [Youngstown State University, athleticNickname, Penguins]
-
A.
Penguins
chosen
Penguins is the nickname for the athletic teams representing Youngstown State University in collegiate sports.
-
B.
Pinguins
Pinguins is the nickname of the professional ice hockey team Fischtown Pinguins Bremerhaven, which competes in Germany’s top-tier league.
-
C.
Penguin
The Penguin is a notorious Gotham City crime lord and one of Batman’s most iconic adversaries, recognizable by his tuxedo, top hat, monocle, and trick umbrellas.
-
D.
Penguin
Penguin is a renowned publishing imprint best known for its influential and widely accessible catalog of literary and non-fiction works.
-
E.
Humboldt penguins
Humboldt penguins are a medium-sized, black-and-white penguin species native to the cold, nutrient-rich Humboldt Current along the Pacific coasts of Peru and Chile.
- 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_69e0c45d95a081908e7962ad215da746 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee884db3ac81909e77d22d607ac72d |
completed | April 26, 2026, 9:49 p.m. |
Created at: April 16, 2026, 6:26 p.m.