Triple
T20815957
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pápa District |
E512437
|
entity |
| Predicate | administrativeCenter |
P1474
|
FINISHED |
| Object | Pápa |
—
|
NE NERFINISHED |
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: Pápa | Statement: [Pápa District, administrativeCenter, Pápa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pápa Context triple: [Pápa District, administrativeCenter, Pápa]
-
A.
Pápa
chosen
Pápa is a Hungarian town that hosts a key NATO Strategic Airlift Capability air base, making it an important military and logistics hub in Central Europe.
-
B.
Turčiansky Svätý Martin
Turčiansky Svätý Martin is the former name of the Slovak city of Martin, a historical and cultural center in northern Slovakia.
-
C.
Wendisch Rietz
Wendisch Rietz is a lakeside village and holiday resort in Brandenburg, Germany, known for its location on the shores of Scharmützelsee and its recreational tourism.
-
D.
Pázmány
Pázmány is a Hungarian surname most notably associated with the influential 17th-century Jesuit cardinal and statesman Péter Pázmány.
-
E.
Vác
Vác is a historic town on the Danube in northern Hungary, known for its Baroque architecture and role as a regional cultural and religious center.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f3473c81908c43a2ec242b1acd |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.