Triple
T3717129
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Austrian Air Force |
E81557
|
entity |
| Predicate | headquartersLocation |
P62
|
FINISHED |
| Object |
Zeltweg
Zeltweg is a town in the Austrian state of Styria known for its military air base and the nearby Red Bull Ring motor racing circuit.
|
E381950
|
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: Zeltweg | Statement: [Austrian Air Force, headquartersLocation, Zeltweg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zeltweg Context triple: [Austrian Air Force, headquartersLocation, Zeltweg]
-
A.
Masaryk Circuit
Masaryk Circuit is a renowned motor racing track near Brno in the Czech Republic, best known for hosting MotoGP and other major international motorsport events.
-
B.
Monza
Monza is a historic city in northern Italy renowned for its royal villa and the Autodromo Nazionale Monza Formula One racing circuit.
-
C.
Kitzbühel
Kitzbühel is a renowned Austrian alpine town famous for its ski resorts and the annual Hahnenkamm downhill race.
-
D.
Leonding, Austria
Leonding, Austria is a small town near Linz in Upper Austria, known in part for its historical connection to Adolf Hitler’s family.
-
E.
Sochi Autodrom
Sochi Autodrom is a modern Formula One racing circuit in Russia, laid out around the venues of the Sochi Olympic Park.
- 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: Zeltweg Triple: [Austrian Air Force, headquartersLocation, Zeltweg]
Generated description
Zeltweg is a town in the Austrian state of Styria known for its military air base and the nearby Red Bull Ring motor racing circuit.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zeltweg Target entity description: Zeltweg is a town in the Austrian state of Styria known for its military air base and the nearby Red Bull Ring motor racing circuit.
-
A.
Masaryk Circuit
Masaryk Circuit is a renowned motor racing track near Brno in the Czech Republic, best known for hosting MotoGP and other major international motorsport events.
-
B.
Monza
Monza is a historic city in northern Italy renowned for its royal villa and the Autodromo Nazionale Monza Formula One racing circuit.
-
C.
Kitzbühel
Kitzbühel is a renowned Austrian alpine town famous for its ski resorts and the annual Hahnenkamm downhill race.
-
D.
Leonding, Austria
Leonding, Austria is a small town near Linz in Upper Austria, known in part for its historical connection to Adolf Hitler’s family.
-
E.
Sochi Autodrom
Sochi Autodrom is a modern Formula One racing circuit in Russia, laid out around the venues of the Sochi Olympic Park.
- 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_69ad8b1a81588190b3f27a5483bb610e |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69adc9d087c881909f6d2ec6e518fb02 |
completed | March 8, 2026, 7:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4ce1260948190b4707337e9427c2c |
completed | March 14, 2026, 2:55 a.m. |
| NEDg | Description generation | batch_69b4cf799ae88190bbf821f4c4500031 |
completed | March 14, 2026, 3:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4d0057fe8819092a40732324f88c9 |
completed | March 14, 2026, 3:03 a.m. |
Created at: March 8, 2026, 3:33 p.m.