Triple
T21754007
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AT312 Linz-Wels |
E536987
|
entity |
| Predicate | hasName |
P744
|
FINISHED |
| Object |
Linz-Wels
Linz-Wels is an Austrian regional area centered around the cities of Linz and Wels, often used for administrative and statistical purposes.
|
E1507784
|
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: Linz-Wels | Statement: [AT312 Linz-Wels, hasName, Linz-Wels]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linz-Wels Context triple: [AT312 Linz-Wels, hasName, Linz-Wels]
-
A.
Tulln an der Donau
Tulln an der Donau is an Austrian town on the Danube River, known for its rich history and as the birthplace of painter Egon Schiele.
-
B.
Linz
Linz is a major Austrian city known for its industrial heritage, vibrant cultural scene, and location along the Danube River.
-
C.
Wiener Neustadt
Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
-
D.
St. Pölten
St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
-
E.
Traunkirchen
Traunkirchen is a picturesque lakeside village in Upper Austria, known for its scenic setting on Lake Traunsee and historic pilgrimage church.
- 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: Linz-Wels Triple: [AT312 Linz-Wels, hasName, Linz-Wels]
Generated description
Linz-Wels is an Austrian regional area centered around the cities of Linz and Wels, often used for administrative and statistical purposes.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Linz-Wels Target entity description: Linz-Wels is an Austrian regional area centered around the cities of Linz and Wels, often used for administrative and statistical purposes.
-
A.
Tulln an der Donau
Tulln an der Donau is an Austrian town on the Danube River, known for its rich history and as the birthplace of painter Egon Schiele.
-
B.
Linz
Linz is a major Austrian city known for its industrial heritage, vibrant cultural scene, and location along the Danube River.
-
C.
Wiener Neustadt
Wiener Neustadt is a historic city in Lower Austria known as a former imperial residence and military stronghold south of Vienna.
-
D.
St. Pölten
St. Pölten is the capital city of the Austrian state of Lower Austria, known for its baroque architecture and role as a regional administrative and cultural center.
-
E.
Traunkirchen
Traunkirchen is a picturesque lakeside village in Upper Austria, known for its scenic setting on Lake Traunsee and historic pilgrimage church.
- 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_69e0c46eab808190b848242d63a17c47 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f01d8c57508190b45fb974ef0ded10 |
completed | April 28, 2026, 2:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a59f2dc08819092f94052c8efaf20 |
completed | May 18, 2026, 12:14 a.m. |
| NEDg | Description generation | batch_6a0a5b34e1948190868859eae050ed22 |
completed | May 18, 2026, 12:20 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a5bce1c388190aa0149fab353f30f |
completed | May 18, 2026, 12:22 a.m. |
Created at: April 16, 2026, 6:50 p.m.