Triple

T9630559
Position Surface form Disambiguated ID Type / Status
Subject Hamburg-Mitte E232790 entity
Predicate vehicleRegistrationCode P1173 FINISHED
Object HH E44341 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: HH | Statement: [Hamburg-Mitte, vehicleRegistrationCode, HH]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HH
Context triple: [Hamburg-Mitte, vehicleRegistrationCode, HH]
  • A. HH chosen
    HH is the vehicle registration code used on license plates for the German city-state of Hamburg.
  • B. H
    H is the commonly used abbreviation for the Conservative Party of Norway, a major center-right political party in the country.
  • C. HOO
    HOO is the Croatian Olympic Committee, the national body responsible for organizing Croatia’s participation in the Olympic Games and promoting Olympic sports in the country.
  • D. HAA
    HAA is the Harvard Alumni Association, the organization that connects and serves Harvard University’s global community of alumni.
  • E. HHM
    HHM is a German vehicle registration code assigned to the Burgenlandkreis district in the state of Saxony-Anhalt.
  • 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_69ca848940cc8190b97cec654cb3bb4a completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cd9b01863c8190a9ec4684804f96bc completed April 1, 2026, 10:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1822e12b8819089d4a64a9980cfcd completed April 4, 2026, 9:27 p.m.
Created at: March 30, 2026, 8:11 p.m.