Triple
T19783377
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steamboat Springs |
E475194
|
entity |
| Predicate | hasNickName |
P39
|
FINISHED |
| Object |
The Boat
"The Boat" is a popular nickname for Steamboat Springs, a Colorado mountain town best known for its ski resort and Western heritage.
|
E1395952
|
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 Boat | Statement: [Steamboat Springs, hasNickName, The Boat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Boat Context triple: [Steamboat Springs, hasNickName, The Boat]
-
A.
The Boat
The Boat is a notable work associated with Joe Roberts, recognized for its creative and artistic significance.
-
B.
The Boat
The Boat is a renowned painting by Catalan modernist artist Ramon Casas, exemplifying his atmospheric style and interest in contemporary life.
-
C.
In the Boat
"In the Boat" is an Impressionist-style painting by Russian artist Konstantin Korovin, depicting figures in a boat bathed in shimmering light and atmospheric color.
-
D.
La barca
"La barca" is a classic romantic song, widely known in the Latin music repertoire for its heartfelt lyrics and enduring popularity.
-
E.
Big Boat
"Big Boat" is a 2016 studio album by the American jam band Phish, known for its eclectic rock sound and improvisational style.
- 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 Boat Triple: [Steamboat Springs, hasNickName, The Boat]
Generated description
"The Boat" is a popular nickname for Steamboat Springs, a Colorado mountain town best known for its ski resort and Western heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Boat Target entity description: "The Boat" is a popular nickname for Steamboat Springs, a Colorado mountain town best known for its ski resort and Western heritage.
-
A.
The Boat
The Boat is a notable work associated with Joe Roberts, recognized for its creative and artistic significance.
-
B.
The Boat
The Boat is a renowned painting by Catalan modernist artist Ramon Casas, exemplifying his atmospheric style and interest in contemporary life.
-
C.
In the Boat
"In the Boat" is an Impressionist-style painting by Russian artist Konstantin Korovin, depicting figures in a boat bathed in shimmering light and atmospheric color.
-
D.
La barca
"La barca" is a classic romantic song, widely known in the Latin music repertoire for its heartfelt lyrics and enduring popularity.
-
E.
Big Boat
"Big Boat" is a 2016 studio album by the American jam band Phish, known for its eclectic rock sound and improvisational style.
- 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_69d8e51b014081908b263e167370529a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e65385ee8081908d58cc3ff05b9b23 |
completed | April 20, 2026, 4:25 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07c4f7966081908d48f096333471f0 |
completed | May 16, 2026, 1:14 a.m. |
| NEDg | Description generation | batch_6a07c5aea8948190b6e5bbcea8053478 |
completed | May 16, 2026, 1:17 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07c6846fb481908e1d5aae2c53a7ba |
completed | May 16, 2026, 1:21 a.m. |
Created at: April 10, 2026, 1:49 p.m.