Triple

T10539856
Position Surface form Disambiguated ID Type / Status
Subject Altötting E248665 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object 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: [Altötting, hasVehicleRegistrationCode, AÖ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: AÖ
Context triple: [Altötting, hasVehicleRegistrationCode, AÖ]
  • A. chosen
    AÖ is the vehicle registration code used on license plates for the district of Altötting in Bavaria, Germany.
  • B.
    Eä is the created universe in J.R.R. Tolkien’s legendarium, encompassing all of space, time, and the world of Arda within it.
  • C. 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.
  • D. Ayöök
    Ayöök is the indigenous Mixe language of Oaxaca, Mexico, known for its complex tonal system and rich oral tradition.
  • E. 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.
  • 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_69d381c733c08190ab1dd6239f5f34ae completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d50a582be48190856c6f272eea4dcf completed April 7, 2026, 1:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9341d96c08190a6ba644b9acfe2c8 completed April 10, 2026, 5:32 p.m.
Created at: April 6, 2026, 12:32 p.m.