Triple
T12913972
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Letov Š-328 |
E308929
|
entity |
| Predicate | manufacturer |
P490
|
FINISHED |
| Object |
Letov
Letov was a Czechoslovak aircraft manufacturer known for producing military and training airplanes in the interwar and World War II periods.
|
E1010082
|
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: Letov | Statement: [Letov Š-328, manufacturer, Letov]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Letov Context triple: [Letov Š-328, manufacturer, Letov]
-
A.
Letkov
Letkov is a small municipality and village in the Plzeň Region of the Czech Republic.
-
B.
Lestkov
Lestkov is a small municipality and village located in the Tachov District of the Plzeň Region in the Czech Republic.
-
C.
Lennik
Lennik is a municipality in the Flemish Brabant province of Belgium, known for its rural character and historic castle of Gaasbeek.
-
D.
Leova
Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
-
E.
Lukin
Lukin is a component or module associated with the "No Code" system, likely serving as a distinct functional part within that broader platform.
- 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: Letov Triple: [Letov Š-328, manufacturer, Letov]
Generated description
Letov was a Czechoslovak aircraft manufacturer known for producing military and training airplanes in the interwar and World War II periods.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Letov Target entity description: Letov was a Czechoslovak aircraft manufacturer known for producing military and training airplanes in the interwar and World War II periods.
-
A.
Letkov
Letkov is a small municipality and village in the Plzeň Region of the Czech Republic.
-
B.
Lestkov
Lestkov is a small municipality and village located in the Tachov District of the Plzeň Region in the Czech Republic.
-
C.
Lennik
Lennik is a municipality in the Flemish Brabant province of Belgium, known for its rural character and historic castle of Gaasbeek.
-
D.
Leova
Leova is a small town in southwestern Moldova known for its location near the border with Romania and its position along the Prut River.
-
E.
Lukin
Lukin is a component or module associated with the "No Code" system, likely serving as a distinct functional part within that broader platform.
- 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_69d7bdf92b588190acdf2a2291ac4590 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d971a0d6508190bca9668e9e06abfe |
completed | April 10, 2026, 9:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6a56ea03c819093a5b8657e27768e |
completed | May 3, 2026, 1:31 a.m. |
| NEDg | Description generation | batch_69f6a68978008190a9d8695b09a8cb3a |
completed | May 3, 2026, 1:36 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6a8a31264819082c1ce67eaa529cc |
completed | May 3, 2026, 1:45 a.m. |
Created at: April 9, 2026, 5:41 p.m.