Triple
T1222392
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Youngstown |
E26250
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
The Yo
The Yo is a colloquial nickname for Youngstown, Ohio, often used by locals to refer to the city in a familiar, informal way.
|
E139534
|
NE FINISHED |
How this triple was built (4 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 Yo | Statement: [Youngstown, nickname, The Yo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Yo Context triple: [Youngstown, nickname, The Yo]
-
A.
YEO
YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
-
B.
YOW
YOW is the three-letter IATA airport code for Ottawa Macdonald–Cartier International Airport, the primary airport serving Canada’s capital city, Ottawa.
-
C.
Yo-Yo
Yo-Yo is the given name of Yo-Yo Ma, the renowned Chinese-American cellist celebrated for his virtuosity and diverse musical collaborations.
-
D.
Joyo
Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
-
E.
Tuyo
"Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: The Yo Triple: [Youngstown, nickname, The Yo]
Generated description
The Yo is a colloquial nickname for Youngstown, Ohio, often used by locals to refer to the city in a familiar, informal way.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Yo Target entity description: The Yo is a colloquial nickname for Youngstown, Ohio, often used by locals to refer to the city in a familiar, informal way.
-
A.
YEO
YEO is the IATA airport code for RNAS Yeovilton, a major Royal Navy air station in Somerset, England.
-
B.
YOW
YOW is the three-letter IATA airport code for Ottawa Macdonald–Cartier International Airport, the primary airport serving Canada’s capital city, Ottawa.
-
C.
Yo-Yo
Yo-Yo is the given name of Yo-Yo Ma, the renowned Chinese-American cellist celebrated for his virtuosity and diverse musical collaborations.
-
D.
Joyo
Joyo is a small city in Japan known for its location in Kyoto Prefecture and its blend of residential areas, light industry, and historical sites.
-
E.
Tuyo
"Tuyo" is a bolero-style song by Rodrigo Amarante, best known as the haunting opening theme of the television series *Narcos*.
- F. None of above. chosen
Provenance (5 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_69a49484688c8190a1bf285eb396a8b6 |
completed | March 1, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69a4be21a2bc819094b47580d7c5cdf8 |
completed | March 1, 2026, 10:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac832508c881908ea01e0b7c7e53eb |
completed | March 7, 2026, 7:57 p.m. |
| NEDg | Description generation | batch_69ac83e914b88190b689995a3c38d6cf |
completed | March 7, 2026, 8 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ac8461940c819088359a448171455e |
completed | March 7, 2026, 8:02 p.m. |
Created at: March 1, 2026, 7:47 p.m.