Triple

T5433368
Position Surface form Disambiguated ID Type / Status
Subject German Code of Civil Procedure E121548 entity
Predicate hasAbbreviation P43 FINISHED
Object ZPO E519924 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: ZPO | Statement: [German Code of Civil Procedure, hasAbbreviation, ZPO]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZPO
Context triple: [German Code of Civil Procedure, hasAbbreviation, ZPO]
  • A. ZPO chosen
    ZPO is the standard abbreviation for the German Code of Civil Procedure, the central statute governing civil court proceedings in Germany.
  • B. PZ
    PZ is the vehicle registration code used on license plates for vehicles registered in the Preveza regional unit of Greece.
  • C. SPZO
    SPZO is the ICAO airport code for Alejandro Velasco Astete International Airport, the main air gateway serving Cusco, Peru.
  • D. ZLP
    ZLP is the IATA station code for Zürich Hauptbahnhof, the main railway station in Zurich, Switzerland.
  • E. WPO
    WPO is the former stock ticker symbol for The Washington Post Company, the media conglomerate that owned The Washington Post newspaper before reorganizing as Graham Holdings Company.
  • 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_69bd463c65f0819082ee6483ab4b466a completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd91ae18cc8190aefe610f91b5382c completed March 20, 2026, 6:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf41284998819096667ae70180e067 completed March 22, 2026, 1:08 a.m.
Created at: March 20, 2026, 2:06 p.m.