Triple
T11902586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rich Stadium |
E283189
|
entity |
| Predicate | hasNickname |
P39
|
FINISHED |
| Object | The Ralph |
E347229
|
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: The Ralph | Statement: [Rich Stadium, hasNickname, The Ralph]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Ralph Context triple: [Rich Stadium, hasNickname, The Ralph]
-
A.
The Ralph
chosen
The Ralph is a popular nickname for Highmark Stadium, the home field of the NFL’s Buffalo Bills in Orchard Park, New York.
-
B.
The Peg
The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
-
C.
The Quigley
The Quigley is a notorious water obstacle course at the U.S. Marine Corps Officer Candidates School, known for its muddy trenches, submerged passages, and physically demanding conditions.
-
D.
The Baxter
The Baxter is a 2005 romantic comedy film that parodies traditional love-triangle tropes by focusing on the jilted "nice guy" usually left behind in such stories.
-
E.
The Rag
The Rag is the informal name of the Army and Navy Club, a historic private members’ club in London traditionally associated with British military officers.
- 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_69d6ab2c07e88190ba13b0d21fd6cf33 |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8dd1792648190853f15fbf217eebd |
completed | April 10, 2026, 11:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f4183d29b081908cfbf4d91a365681 |
completed | May 1, 2026, 3:04 a.m. |
Created at: April 8, 2026, 9:44 p.m.