Triple
T7498838
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Linzer ASK |
E177207
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object |
LASK
LASK is a professional Austrian football club based in Linz that competes in the Austrian Bundesliga.
|
E669099
|
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: LASK | Statement: [Linzer ASK, shortName, LASK]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: LASK Context triple: [Linzer ASK, shortName, LASK]
-
A.
LAK
LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
-
B.
LAS
LAS is the commonly used abbreviation for the Arab League, a regional organization of Arab countries in and around North Africa, the Horn of Africa, and the Middle East.
-
C.
LAS
LAS is the IATA airport code for Harry Reid International Airport, the primary commercial airport serving Las Vegas, Nevada.
-
D.
LAS
LAS is an abbreviation commonly used for the College of Liberal Arts and Sciences at many universities, encompassing a broad range of humanities, social sciences, and natural sciences disciplines.
-
E.
LSK
LSK is a common abbreviation for Lillestrøm SK, a Norwegian football club known for competing in the country’s top divisions and having a strong local fan base.
- 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: LASK Triple: [Linzer ASK, shortName, LASK]
Generated description
LASK is a professional Austrian football club based in Linz that competes in the Austrian Bundesliga.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: LASK Target entity description: LASK is a professional Austrian football club based in Linz that competes in the Austrian Bundesliga.
-
A.
LAK
LAK is the standard abbreviation used to represent the Los Angeles Lakers NBA franchise in scores, statistics, and media.
-
B.
LAS
LAS is the commonly used abbreviation for the Arab League, a regional organization of Arab countries in and around North Africa, the Horn of Africa, and the Middle East.
-
C.
LAS
LAS is an abbreviation commonly used for the College of Liberal Arts and Sciences at many universities, encompassing a broad range of humanities, social sciences, and natural sciences disciplines.
-
D.
LAS
LAS is the IATA airport code for Harry Reid International Airport, the primary commercial airport serving Las Vegas, Nevada.
-
E.
LSK
LSK is a common abbreviation for Lillestrøm SK, a Norwegian football club known for competing in the country’s top divisions and having a strong local fan base.
- 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_69c69f2696688190915a8458f2398211 |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f597a0c08190b34fa283a11d98c7 |
completed | March 27, 2026, 9:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c83c8b28d0819095c7b666d442c7ab |
completed | March 28, 2026, 8:39 p.m. |
| NEDg | Description generation | batch_69c83d49547081909028ac0293dae102 |
completed | March 28, 2026, 8:42 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c8410c22bc8190a1f52179bf3c720b |
completed | March 28, 2026, 8:58 p.m. |
Created at: March 27, 2026, 3:44 p.m.