Triple

T9723675
Position Surface form Disambiguated ID Type / Status
Subject Zweibrücken E235546 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object ZW E136470 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: ZW | Statement: [Zweibrücken, vehicleRegistrationCode, ZW]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ZW
Context triple: [Zweibrücken, vehicleRegistrationCode, ZW]
  • A. ZW chosen
    ZW is the ISO 3166-1 alpha-2 country code for Zimbabwe, a landlocked country in southern Africa.
  • B. ZWN
    ZWN is a former currency code used to denote an early version of the Zimbabwean dollar in international financial and foreign exchange contexts.
  • C. WZ
    WZ is the IATA airline designator assigned to Red Wings Airlines, a Russian passenger carrier.
  • D. ŻW
    ŻW is the abbreviated name of Poland’s Military Gendarmerie, the armed forces’ military police force responsible for law enforcement and security within the Polish military.
  • E. ZA
    ZA is the ISO 3166-1 alpha-2 country code for South Africa.
  • 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_69ca84d0123c819096f9dc3b6abb0881 completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9e77096481908ffd315fecb1d5ec completed April 1, 2026, 10:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1afb089e48190a14ed0c0f81872c7 completed April 5, 2026, 12:41 a.m.
Created at: March 30, 2026, 8:20 p.m.