Triple
T8836473
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jounen Kwéyòl (Creole Day) in Saint Lucia |
E210278
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object |
Jounen Kwéyòl
Jounen Kwéyòl is an annual cultural festival in Saint Lucia celebrating Kwéyòl (Creole) language, music, food, and traditional heritage.
|
E760155
|
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: Jounen Kwéyòl | Statement: [Jounen Kwéyòl (Creole Day) in Saint Lucia, alsoKnownAs, Jounen Kwéyòl]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jounen Kwéyòl Context triple: [Jounen Kwéyòl (Creole Day) in Saint Lucia, alsoKnownAs, Jounen Kwéyòl]
-
A.
Kola Kwariani
Kola Kwariani was a Georgian-born professional wrestler and occasional actor best known for his memorable role as a chess-playing strongman in Stanley Kubrick’s film "The Killing."
-
B.
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.
-
C.
Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
-
D.
Blaise
The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
-
E.
Blaise
Blaise is a river in northeastern France that flows through the Haute-Marne department.
- 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: Jounen Kwéyòl Triple: [Jounen Kwéyòl (Creole Day) in Saint Lucia, alsoKnownAs, Jounen Kwéyòl]
Generated description
Jounen Kwéyòl is an annual cultural festival in Saint Lucia celebrating Kwéyòl (Creole) language, music, food, and traditional heritage.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jounen Kwéyòl Target entity description: Jounen Kwéyòl is an annual cultural festival in Saint Lucia celebrating Kwéyòl (Creole) language, music, food, and traditional heritage.
-
A.
Kola Kwariani
Kola Kwariani was a Georgian-born professional wrestler and occasional actor best known for his memorable role as a chess-playing strongman in Stanley Kubrick’s film "The Killing."
-
B.
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.
-
C.
Kwan
Kwan is a Chinese-origin surname shared by many individuals, including the renowned American figure skater Michelle Kwan.
-
D.
Blaise
The Blaise is a small river in northern France that flows through the Eure department as one of its tributaries.
-
E.
Blaise
Blaise is a river in northeastern France that flows through the Haute-Marne department.
- 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_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6069ad7881909e31010e73e26f91 |
completed | April 1, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf898022c88190b7274350ce065f00 |
completed | April 3, 2026, 9:33 a.m. |
| NEDg | Description generation | batch_69cf8a8e5db0819080e6fdc3d8322e94 |
completed | April 3, 2026, 9:38 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf8b8849ec8190915fa087b1b46c18 |
completed | April 3, 2026, 9:42 a.m. |
Created at: March 30, 2026, 6:47 p.m.