Triple
T9500563
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Neuötting |
E229125
|
entity |
| Predicate | vehicleRegistrationCode |
P1173
|
FINISHED |
| Object | AÖ |
E277851
|
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: AÖ | Statement: [Neuötting, vehicleRegistrationCode, AÖ]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AÖ Context triple: [Neuötting, vehicleRegistrationCode, AÖ]
-
A.
AÖ
chosen
AÖ is the vehicle registration code used on license plates for the district of Altötting in Bavaria, Germany.
-
B.
BCE
BCE is the acronym for the Central Bank of Ecuador, the country’s primary monetary authority responsible for managing currency, monetary policy, and financial stability.
-
C.
Ayöök
Ayöök is the indigenous Mixe language of Oaxaca, Mexico, known for its complex tonal system and rich oral tradition.
-
D.
Aisch
The Aisch is a river in the German state of Bavaria that flows through the region of Middle Franconia and is known for its scenic valleys and traditional carp-farming areas.
-
E.
ÅA
ÅA is the commonly used abbreviation for Åbo Akademi University, a Swedish-language university in Turku, Finland.
- 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_69ca84753660819098e8d416e89e26ae |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd983c308c8190bde6858ac1ca8ea5 |
completed | April 1, 2026, 10:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d12d439c6881909832afcc1154bca8 |
completed | April 4, 2026, 3:24 p.m. |
Created at: March 30, 2026, 7:57 p.m.