Triple

T8147863
Position Surface form Disambiguated ID Type / Status
Subject Erzgebirgskreis E190258 entity
Predicate hasVehicleRegistrationCode P1173 FINISHED
Object ERZ E408329 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: ERZ | Statement: [Erzgebirgskreis, hasVehicleRegistrationCode, ERZ]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: ERZ
Context triple: [Erzgebirgskreis, hasVehicleRegistrationCode, ERZ]
  • A. ERZ chosen
    ERZ is the vehicle registration code for the Erzgebirgskreis district in the Free State of Saxony, Germany.
  • B. ER3
    ER3 is the IATA aircraft type code used to designate the Embraer ERJ 135 regional jet.
  • C. Er
    Er is a minor biblical figure in the Book of Genesis, known as the firstborn son of Judah whose early death led to the levirate marriage of his widow Tamar.
  • D. ER
    ER is the commonly used abbreviation for United Russia, the dominant ruling political party in the Russian Federation.
  • E. ER
    ER is the vehicle registration code assigned to the German city of Erlangen in the state of Bavaria.
  • 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_69ca82be7ba8819087de0147e9292c83 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb447e74e081908df774edb2134209 completed March 31, 2026, 3:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69ccbee697208190a1d9c98b2a4414bd completed April 1, 2026, 6:44 a.m.
Created at: March 30, 2026, 5:36 p.m.