Triple

T11041555
Position Surface form Disambiguated ID Type / Status
Subject Reeperbahn S-Bahn station E261029 entity
Predicate fareZone P844 FINISHED
Object HVV A E602316 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: HVV A | Statement: [Reeperbahn S-Bahn station, fareZone, HVV A]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: HVV A
Context triple: [Reeperbahn S-Bahn station, fareZone, HVV A]
  • A. HVV chosen
    HVV is the Hamburg public transport association that coordinates and operates regional transit services in and around Hamburg, Germany.
  • B. AVV
    AVV is the IATA airport code for Avalon Airport, a regional airport serving the Geelong and Melbourne areas in Victoria, Australia.
  • C. VHHH
    VHHH is the ICAO airport code for Hong Kong International Airport, a major global aviation hub located on Chek Lap Kok Island in Hong Kong.
  • D. VBB
    VBB is the public transport authority and fare network that coordinates and integrates regional and urban transit services across Berlin and the surrounding Brandenburg region.
  • E. VAAH
    VAAH is the ICAO airport code for Sardar Vallabhbhai Patel International Airport serving Ahmedabad in the Indian state of Gujarat.
  • 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_69d6aa979bdc8190bf0e79104cc098c1 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d7980050948190ae7b187da5b776ca completed April 9, 2026, 12:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3a9e525508190bf3a728683eeec79 completed April 18, 2026, 3:57 p.m.
Created at: April 8, 2026, 9:26 p.m.