Triple
T14743989
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lev Praha |
E346418
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
LEV
LEV is the commonly used abbreviation for Lev Praha, a former professional ice hockey club based in Prague, Czech Republic.
|
E1116972
|
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: LEV | Statement: [Lev Praha, hasAbbreviation, LEV]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LEV Context triple: [Lev Praha, hasAbbreviation, LEV]
-
A.
LEV
LEV is the vehicle registration code used on license plates for the German city of Leverkusen.
-
B.
lev
The lev is the official national currency of Bulgaria, used for everyday transactions and financial operations throughout the country.
-
C.
LV
LV is the two-letter ISO 3166-1 alpha-2 country code representing Latvia.
-
D.
LV
LV is an American rapper and singer best known for his soulful hook on Coolio’s Grammy-winning hit “Gangsta’s Paradise.”
-
E.
LE
LE is the abbreviation for Les Engagés, a centrist political party in Belgium that emerged from the reform of the former Humanist Democratic Centre (cdH).
- 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: LEV Triple: [Lev Praha, hasAbbreviation, LEV]
Generated description
LEV is the commonly used abbreviation for Lev Praha, a former professional ice hockey club based in Prague, Czech Republic.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LEV Target entity description: LEV is the commonly used abbreviation for Lev Praha, a former professional ice hockey club based in Prague, Czech Republic.
-
A.
LEV
LEV is the vehicle registration code used on license plates for the German city of Leverkusen.
-
B.
lev
The lev is the official national currency of Bulgaria, used for everyday transactions and financial operations throughout the country.
-
C.
LV
LV is the two-letter ISO 3166-1 alpha-2 country code representing Latvia.
-
D.
LV
LV is an American rapper and singer best known for his soulful hook on Coolio’s Grammy-winning hit “Gangsta’s Paradise.”
-
E.
LE
LE is the abbreviation for Les Engagés, a centrist political party in Belgium that emerged from the reform of the former Humanist Democratic Centre (cdH).
- 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_69d822e6f1c88190bc494d491a907114 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7d002708190a32a4a45e96fc389 |
completed | April 14, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fdfb93e94c8190beba605e26d4552c |
completed | May 8, 2026, 3:04 p.m. |
| NEDg | Description generation | batch_69fdff025e00819089ad734f74b64f26 |
completed | May 8, 2026, 3:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69fdff8bdefc8190a4a66c742e1cae83 |
completed | May 8, 2026, 3:21 p.m. |
Created at: April 10, 2026, 1:30 a.m.