Triple
T15774671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Litovel Brewery |
E382458
|
entity |
| Predicate | hasBrand |
P1500
|
FINISHED |
| Object |
Litovel Pomelo
Litovel Pomelo is a flavored beer from the Czech Litovel Brewery that features a refreshing pomelo citrus taste.
|
E81669
|
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: Litovel Pomelo | Statement: [Litovel Brewery, hasBrand, Litovel Pomelo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Litovel Pomelo Context triple: [Litovel Brewery, hasBrand, Litovel Pomelo]
-
A.
Limonest
Limonest is a commune in eastern France, near Lyon, known for hosting the headquarters of several technology and e-commerce companies.
-
B.
Litovel
Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
-
C.
The Mango
"The Mango" is an episode of the television sitcom Seinfeld, known for its storyline involving fruit, sexual performance, and the characters' anxieties about satisfaction.
-
D.
Lemonum
Lemonum was an important ancient Roman town in Gaul, located at the site of modern-day Poitiers in western France.
-
E.
Paopi
Paopi is the second month of the Coptic calendar, corresponding roughly to October in the Gregorian calendar and associated with the season of Akhet (inundation).
- 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: Litovel Pomelo Triple: [Litovel Brewery, hasBrand, Litovel Pomelo]
Generated description
Litovel Pomelo is a flavored beer from the Czech Litovel Brewery that features a refreshing pomelo citrus taste.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Litovel Pomelo Target entity description: Litovel Pomelo is a flavored beer from the Czech Litovel Brewery that features a refreshing pomelo citrus taste.
-
A.
Limonest
Limonest is a commune in eastern France, near Lyon, known for hosting the headquarters of several technology and e-commerce companies.
-
B.
Litovel
chosen
Litovel is a historic town in the Olomouc Region of the Czech Republic, known for its traditional architecture and local brewery.
-
C.
The Mango
"The Mango" is an episode of the television sitcom Seinfeld, known for its storyline involving fruit, sexual performance, and the characters' anxieties about satisfaction.
-
D.
Lemonum
Lemonum was an important ancient Roman town in Gaul, located at the site of modern-day Poitiers in western France.
-
E.
Paopi
Paopi is the second month of the Coptic calendar, corresponding roughly to October in the Gregorian calendar and associated with the season of Akhet (inundation).
- F. None of above.
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_69d86da09a10819082fe9797b23e4664 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e05198c1588190a65e23c18443eb5c |
completed | April 16, 2026, 3:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff877e67b881908a67b9acc79d998f |
completed | May 9, 2026, 7:14 p.m. |
| NEDg | Description generation | batch_69ff88358e408190a8d7424fc495d4fa |
completed | May 9, 2026, 7:17 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff88f192a08190acbc2c3fc98c65c8 |
completed | May 9, 2026, 7:20 p.m. |
Created at: April 10, 2026, 4:47 a.m.