Triple
T27569
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New York |
E550
|
entity |
| Predicate | motto |
P42
|
FINISHED |
| Object |
Excelsior
Excelsior is the Latin state motto of New York, meaning "ever upward" and symbolizing aspiration and continual progress.
|
E3555
|
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: Excelsior | Statement: [New York, motto, Excelsior]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Excelsior Context triple: [New York, motto, Excelsior]
-
A.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
B.
Carnegie
Carnegie is a Scottish surname most famously associated with industrialist and philanthropist Andrew Carnegie.
-
C.
Crown
The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
-
D.
Cottonopolis
Cottonopolis is a historical nickname for Manchester, England, reflecting its prominence as a major center of the cotton and textile industry during the Industrial Revolution.
-
E.
Chocolate City
Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
- 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: Excelsior Triple: [New York, motto, Excelsior]
Generated description
Excelsior is the Latin state motto of New York, meaning "ever upward" and symbolizing aspiration and continual progress.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Excelsior Target entity description: Excelsior is the Latin state motto of New York, meaning "ever upward" and symbolizing aspiration and continual progress.
-
A.
Porter
Porter is a transit station in Cambridge, Massachusetts that serves both MBTA commuter rail and Red Line subway services.
-
B.
Carnegie
Carnegie is a Scottish surname most famously associated with industrialist and philanthropist Andrew Carnegie.
-
C.
Crown
The Crown is the institution representing the British monarchy and the executive authority of the state, distinct from Parliament and the judiciary.
-
D.
Cottonopolis
Cottonopolis is a historical nickname for Manchester, England, reflecting its prominence as a major center of the cotton and textile industry during the Industrial Revolution.
-
E.
Chocolate City
Chocolate City is a popular nickname for Washington, D.C., highlighting its historically large and influential African American population and culture.
- 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_69a243b4ac2c8190b93c303df797b7b2 |
completed | Feb. 28, 2026, 1:24 a.m. |
| NER | Named-entity recognition | batch_69a2467875048190aad87347c7a1cb67 |
completed | Feb. 28, 2026, 1:36 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a24e5b531481909078feeee5cf26e2 |
completed | Feb. 28, 2026, 2:09 a.m. |
| NEDg | Description generation | batch_69a2506ad2ac8190b5a61c3fb3890d47 |
completed | Feb. 28, 2026, 2:18 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a25147eccc8190b6151a03b064d31c |
completed | Feb. 28, 2026, 2:22 a.m. |
Created at: Feb. 28, 2026, 1:34 a.m.