Triple
T11565589
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juan J. Linz |
E274243
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Linz |
E75219
|
NE FINISHED |
How this triple was built (2 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 | Statement: [Juan J. Linz, familyName, Linz]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Linz Context triple: [Juan J. Linz, familyName, Linz]
-
A.
Linz
chosen
Linz is a major Austrian city known for its industrial heritage, vibrant cultural scene, and location along the Danube River.
-
B.
Donaustauf
Donaustauf is a market town in Bavaria, Germany, situated on the Danube River just east of the city of Regensburg and known for the nearby Walhalla memorial.
-
C.
Klagenfurt
Klagenfurt is the capital city of the Austrian state of Carinthia, known for its historic old town and proximity to Lake Wörthersee.
-
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.
Lenzburg
Lenzburg is a historic Swiss town in the canton of Aargau, known for its medieval hilltop castle and well-preserved old town.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d6aae5ac3c81908d2b0a3a665665b2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d88dd321f88190a57ecaf079fbbc3f |
completed | April 10, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ee86b56e4081908746bb3355f6ec47 |
completed | April 26, 2026, 9:42 p.m. |
Created at: April 8, 2026, 9:37 p.m.