Triple

T19877316
Position Surface form Disambiguated ID Type / Status
Subject Obergericht des Kantons Zürich E477671 entity
Predicate hasAbbreviation P43 FINISHED
Object OG ZH
OG ZH is the commonly used abbreviation for the Obergericht des Kantons Zürich, the higher cantonal court of the Swiss canton of Zurich.
E1399878 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: OG ZH | Statement: [Obergericht des Kantons Zürich, hasAbbreviation, OG ZH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: OG ZH
Context triple: [Obergericht des Kantons Zürich, hasAbbreviation, OG ZH]
  • A. OGZ
    OGZ is the IATA airport code for Beslan Airport, which serves the city of Vladikavkaz in North Ossetia, Russia.
  • B. OZG
    OZG is the IATA airport code for Zagora Airport, a public airport serving the Zagora region in Morocco.
  • C. OZN
    OZN was a Polish political organization associated with the interwar Sanation regime, supporting its authoritarian and nationalist policies.
  • D. Zog
    Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
  • E. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • 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: OG ZH
Triple: [Obergericht des Kantons Zürich, hasAbbreviation, OG ZH]
Generated description
OG ZH is the commonly used abbreviation for the Obergericht des Kantons Zürich, the higher cantonal court of the Swiss canton of Zurich.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: OG ZH
Target entity description: OG ZH is the commonly used abbreviation for the Obergericht des Kantons Zürich, the higher cantonal court of the Swiss canton of Zurich.
  • A. OGZ
    OGZ is the IATA airport code for Beslan Airport, which serves the city of Vladikavkaz in North Ossetia, Russia.
  • B. OZG
    OZG is the IATA airport code for Zagora Airport, a public airport serving the Zagora region in Morocco.
  • C. OZN
    OZN was a Polish political organization associated with the interwar Sanation regime, supporting its authoritarian and nationalist policies.
  • D. Zog
    Zog is a children's picture book by Julia Donaldson, illustrated by Axel Scheffler, about an eager young dragon learning at dragon school.
  • E. ZG
    ZG is the vehicle registration code used on license plates for the city of Zagreb, the capital of Croatia.
  • 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_69d8e51f32b08190b3687f4f60353250 completed April 10, 2026, 11:55 a.m.
NER Named-entity recognition batch_69e658dbdb648190b423865e7994a8fe completed April 20, 2026, 4:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07dbc82f0881909556c54b8ce3533f completed May 16, 2026, 2:51 a.m.
NEDg Description generation batch_6a07dc854a0c8190b0da81ead6b9cfc1 completed May 16, 2026, 2:55 a.m.
NED2 Entity disambiguation (via description) batch_6a07dd45e93c8190b14c23487398a8ec completed May 16, 2026, 2:58 a.m.
Created at: April 10, 2026, 1:52 p.m.